Training in progress, step 2500, checkpoint
Browse files- checkpoint-2500/README.md +202 -0
- checkpoint-2500/adapter_config.json +35 -0
- checkpoint-2500/adapter_model.safetensors +3 -0
- checkpoint-2500/optimizer.pt +3 -0
- checkpoint-2500/rng_state.pth +3 -0
- checkpoint-2500/scheduler.pt +3 -0
- checkpoint-2500/special_tokens_map.json +24 -0
- checkpoint-2500/tokenizer.json +0 -0
- checkpoint-2500/tokenizer_config.json +393 -0
- checkpoint-2500/trainer_state.json +183 -0
- checkpoint-2500/training_args.bin +3 -0
    	
        checkpoint-2500/README.md
    ADDED
    
    | @@ -0,0 +1,202 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            ---
         | 
| 2 | 
            +
            base_model: stabilityai/stable-code-instruct-3b
         | 
| 3 | 
            +
            library_name: peft
         | 
| 4 | 
            +
            ---
         | 
| 5 | 
            +
             | 
| 6 | 
            +
            # Model Card for Model ID
         | 
| 7 | 
            +
             | 
| 8 | 
            +
            <!-- Provide a quick summary of what the model is/does. -->
         | 
| 9 | 
            +
             | 
| 10 | 
            +
             | 
| 11 | 
            +
             | 
| 12 | 
            +
            ## Model Details
         | 
| 13 | 
            +
             | 
| 14 | 
            +
            ### Model Description
         | 
| 15 | 
            +
             | 
| 16 | 
            +
            <!-- Provide a longer summary of what this model is. -->
         | 
| 17 | 
            +
             | 
| 18 | 
            +
             | 
| 19 | 
            +
             | 
| 20 | 
            +
            - **Developed by:** [More Information Needed]
         | 
| 21 | 
            +
            - **Funded by [optional]:** [More Information Needed]
         | 
| 22 | 
            +
            - **Shared by [optional]:** [More Information Needed]
         | 
| 23 | 
            +
            - **Model type:** [More Information Needed]
         | 
| 24 | 
            +
            - **Language(s) (NLP):** [More Information Needed]
         | 
| 25 | 
            +
            - **License:** [More Information Needed]
         | 
| 26 | 
            +
            - **Finetuned from model [optional]:** [More Information Needed]
         | 
| 27 | 
            +
             | 
| 28 | 
            +
            ### Model Sources [optional]
         | 
| 29 | 
            +
             | 
| 30 | 
            +
            <!-- Provide the basic links for the model. -->
         | 
| 31 | 
            +
             | 
| 32 | 
            +
            - **Repository:** [More Information Needed]
         | 
| 33 | 
            +
            - **Paper [optional]:** [More Information Needed]
         | 
| 34 | 
            +
            - **Demo [optional]:** [More Information Needed]
         | 
| 35 | 
            +
             | 
| 36 | 
            +
            ## Uses
         | 
| 37 | 
            +
             | 
| 38 | 
            +
            <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
         | 
| 39 | 
            +
             | 
| 40 | 
            +
            ### Direct Use
         | 
| 41 | 
            +
             | 
| 42 | 
            +
            <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
         | 
| 43 | 
            +
             | 
| 44 | 
            +
            [More Information Needed]
         | 
| 45 | 
            +
             | 
| 46 | 
            +
            ### Downstream Use [optional]
         | 
| 47 | 
            +
             | 
| 48 | 
            +
            <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
         | 
| 49 | 
            +
             | 
| 50 | 
            +
            [More Information Needed]
         | 
| 51 | 
            +
             | 
| 52 | 
            +
            ### Out-of-Scope Use
         | 
| 53 | 
            +
             | 
| 54 | 
            +
            <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
         | 
| 55 | 
            +
             | 
| 56 | 
            +
            [More Information Needed]
         | 
| 57 | 
            +
             | 
| 58 | 
            +
            ## Bias, Risks, and Limitations
         | 
| 59 | 
            +
             | 
| 60 | 
            +
            <!-- This section is meant to convey both technical and sociotechnical limitations. -->
         | 
| 61 | 
            +
             | 
| 62 | 
            +
            [More Information Needed]
         | 
| 63 | 
            +
             | 
| 64 | 
            +
            ### Recommendations
         | 
| 65 | 
            +
             | 
| 66 | 
            +
            <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
         | 
| 67 | 
            +
             | 
| 68 | 
            +
            Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
         | 
| 69 | 
            +
             | 
| 70 | 
            +
            ## How to Get Started with the Model
         | 
| 71 | 
            +
             | 
| 72 | 
            +
            Use the code below to get started with the model.
         | 
| 73 | 
            +
             | 
| 74 | 
            +
            [More Information Needed]
         | 
| 75 | 
            +
             | 
| 76 | 
            +
            ## Training Details
         | 
| 77 | 
            +
             | 
| 78 | 
            +
            ### Training Data
         | 
| 79 | 
            +
             | 
| 80 | 
            +
            <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
         | 
| 81 | 
            +
             | 
| 82 | 
            +
            [More Information Needed]
         | 
| 83 | 
            +
             | 
| 84 | 
            +
            ### Training Procedure
         | 
| 85 | 
            +
             | 
| 86 | 
            +
            <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
         | 
| 87 | 
            +
             | 
| 88 | 
            +
            #### Preprocessing [optional]
         | 
| 89 | 
            +
             | 
| 90 | 
            +
            [More Information Needed]
         | 
| 91 | 
            +
             | 
| 92 | 
            +
             | 
| 93 | 
            +
            #### Training Hyperparameters
         | 
| 94 | 
            +
             | 
| 95 | 
            +
            - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
         | 
| 96 | 
            +
             | 
| 97 | 
            +
            #### Speeds, Sizes, Times [optional]
         | 
| 98 | 
            +
             | 
| 99 | 
            +
            <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
         | 
| 100 | 
            +
             | 
| 101 | 
            +
            [More Information Needed]
         | 
| 102 | 
            +
             | 
| 103 | 
            +
            ## Evaluation
         | 
| 104 | 
            +
             | 
| 105 | 
            +
            <!-- This section describes the evaluation protocols and provides the results. -->
         | 
| 106 | 
            +
             | 
| 107 | 
            +
            ### Testing Data, Factors & Metrics
         | 
| 108 | 
            +
             | 
| 109 | 
            +
            #### Testing Data
         | 
| 110 | 
            +
             | 
| 111 | 
            +
            <!-- This should link to a Dataset Card if possible. -->
         | 
| 112 | 
            +
             | 
| 113 | 
            +
            [More Information Needed]
         | 
| 114 | 
            +
             | 
| 115 | 
            +
            #### Factors
         | 
| 116 | 
            +
             | 
| 117 | 
            +
            <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
         | 
| 118 | 
            +
             | 
| 119 | 
            +
            [More Information Needed]
         | 
| 120 | 
            +
             | 
| 121 | 
            +
            #### Metrics
         | 
| 122 | 
            +
             | 
| 123 | 
            +
            <!-- These are the evaluation metrics being used, ideally with a description of why. -->
         | 
| 124 | 
            +
             | 
| 125 | 
            +
            [More Information Needed]
         | 
| 126 | 
            +
             | 
| 127 | 
            +
            ### Results
         | 
| 128 | 
            +
             | 
| 129 | 
            +
            [More Information Needed]
         | 
| 130 | 
            +
             | 
| 131 | 
            +
            #### Summary
         | 
| 132 | 
            +
             | 
| 133 | 
            +
             | 
| 134 | 
            +
             | 
| 135 | 
            +
            ## Model Examination [optional]
         | 
| 136 | 
            +
             | 
| 137 | 
            +
            <!-- Relevant interpretability work for the model goes here -->
         | 
| 138 | 
            +
             | 
| 139 | 
            +
            [More Information Needed]
         | 
| 140 | 
            +
             | 
| 141 | 
            +
            ## Environmental Impact
         | 
| 142 | 
            +
             | 
| 143 | 
            +
            <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
         | 
| 144 | 
            +
             | 
| 145 | 
            +
            Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
         | 
| 146 | 
            +
             | 
| 147 | 
            +
            - **Hardware Type:** [More Information Needed]
         | 
| 148 | 
            +
            - **Hours used:** [More Information Needed]
         | 
| 149 | 
            +
            - **Cloud Provider:** [More Information Needed]
         | 
| 150 | 
            +
            - **Compute Region:** [More Information Needed]
         | 
| 151 | 
            +
            - **Carbon Emitted:** [More Information Needed]
         | 
| 152 | 
            +
             | 
| 153 | 
            +
            ## Technical Specifications [optional]
         | 
| 154 | 
            +
             | 
| 155 | 
            +
            ### Model Architecture and Objective
         | 
| 156 | 
            +
             | 
| 157 | 
            +
            [More Information Needed]
         | 
| 158 | 
            +
             | 
| 159 | 
            +
            ### Compute Infrastructure
         | 
| 160 | 
            +
             | 
| 161 | 
            +
            [More Information Needed]
         | 
| 162 | 
            +
             | 
| 163 | 
            +
            #### Hardware
         | 
| 164 | 
            +
             | 
| 165 | 
            +
            [More Information Needed]
         | 
| 166 | 
            +
             | 
| 167 | 
            +
            #### Software
         | 
| 168 | 
            +
             | 
| 169 | 
            +
            [More Information Needed]
         | 
| 170 | 
            +
             | 
| 171 | 
            +
            ## Citation [optional]
         | 
| 172 | 
            +
             | 
| 173 | 
            +
            <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
         | 
| 174 | 
            +
             | 
| 175 | 
            +
            **BibTeX:**
         | 
| 176 | 
            +
             | 
| 177 | 
            +
            [More Information Needed]
         | 
| 178 | 
            +
             | 
| 179 | 
            +
            **APA:**
         | 
| 180 | 
            +
             | 
| 181 | 
            +
            [More Information Needed]
         | 
| 182 | 
            +
             | 
| 183 | 
            +
            ## Glossary [optional]
         | 
| 184 | 
            +
             | 
| 185 | 
            +
            <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
         | 
| 186 | 
            +
             | 
| 187 | 
            +
            [More Information Needed]
         | 
| 188 | 
            +
             | 
| 189 | 
            +
            ## More Information [optional]
         | 
| 190 | 
            +
             | 
| 191 | 
            +
            [More Information Needed]
         | 
| 192 | 
            +
             | 
| 193 | 
            +
            ## Model Card Authors [optional]
         | 
| 194 | 
            +
             | 
| 195 | 
            +
            [More Information Needed]
         | 
| 196 | 
            +
             | 
| 197 | 
            +
            ## Model Card Contact
         | 
| 198 | 
            +
             | 
| 199 | 
            +
            [More Information Needed]
         | 
| 200 | 
            +
            ### Framework versions
         | 
| 201 | 
            +
             | 
| 202 | 
            +
            - PEFT 0.14.0
         | 
    	
        checkpoint-2500/adapter_config.json
    ADDED
    
    | @@ -0,0 +1,35 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "alpha_pattern": {},
         | 
| 3 | 
            +
              "auto_mapping": {
         | 
| 4 | 
            +
                "base_model_class": "StableLmForCausalLM",
         | 
| 5 | 
            +
                "parent_library": "transformers.models.stablelm.modeling_stablelm"
         | 
| 6 | 
            +
              },
         | 
| 7 | 
            +
              "base_model_name_or_path": "stabilityai/stable-code-instruct-3b",
         | 
| 8 | 
            +
              "bias": "none",
         | 
| 9 | 
            +
              "eva_config": null,
         | 
| 10 | 
            +
              "exclude_modules": null,
         | 
| 11 | 
            +
              "fan_in_fan_out": false,
         | 
| 12 | 
            +
              "inference_mode": true,
         | 
| 13 | 
            +
              "init_lora_weights": true,
         | 
| 14 | 
            +
              "layer_replication": null,
         | 
| 15 | 
            +
              "layers_pattern": null,
         | 
| 16 | 
            +
              "layers_to_transform": null,
         | 
| 17 | 
            +
              "loftq_config": {},
         | 
| 18 | 
            +
              "lora_alpha": 128,
         | 
| 19 | 
            +
              "lora_bias": false,
         | 
| 20 | 
            +
              "lora_dropout": 0.1,
         | 
| 21 | 
            +
              "megatron_config": null,
         | 
| 22 | 
            +
              "megatron_core": "megatron.core",
         | 
| 23 | 
            +
              "modules_to_save": null,
         | 
| 24 | 
            +
              "peft_type": "LORA",
         | 
| 25 | 
            +
              "r": 64,
         | 
| 26 | 
            +
              "rank_pattern": {},
         | 
| 27 | 
            +
              "revision": null,
         | 
| 28 | 
            +
              "target_modules": [
         | 
| 29 | 
            +
                "q_proj",
         | 
| 30 | 
            +
                "v_proj"
         | 
| 31 | 
            +
              ],
         | 
| 32 | 
            +
              "task_type": null,
         | 
| 33 | 
            +
              "use_dora": false,
         | 
| 34 | 
            +
              "use_rslora": false
         | 
| 35 | 
            +
            }
         | 
    	
        checkpoint-2500/adapter_model.safetensors
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:f85842a97469bcb1956cc39c9ec6ce3881d0950fb651791832f1d5af8f1a45ae
         | 
| 3 | 
            +
            size 83903328
         | 
    	
        checkpoint-2500/optimizer.pt
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:2d04dfc9435bdee9e49576ff6868ff630d07de14adc39951b35de3505050d044
         | 
| 3 | 
            +
            size 42753914
         | 
    	
        checkpoint-2500/rng_state.pth
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:aefc127330d9855689c06125d35312c92a37b64dbb1f3f2372464a2b0e5344f7
         | 
| 3 | 
            +
            size 14308
         | 
    	
        checkpoint-2500/scheduler.pt
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:feaaf7d386212aae4c17899c30259b65d2cb90cc34d86d29fc4f3c477f8b3ac9
         | 
| 3 | 
            +
            size 1064
         | 
    	
        checkpoint-2500/special_tokens_map.json
    ADDED
    
    | @@ -0,0 +1,24 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "bos_token": {
         | 
| 3 | 
            +
                "content": "<|endoftext|>",
         | 
| 4 | 
            +
                "lstrip": false,
         | 
| 5 | 
            +
                "normalized": false,
         | 
| 6 | 
            +
                "rstrip": false,
         | 
| 7 | 
            +
                "single_word": false
         | 
| 8 | 
            +
              },
         | 
| 9 | 
            +
              "eos_token": {
         | 
| 10 | 
            +
                "content": "<|endoftext|>",
         | 
| 11 | 
            +
                "lstrip": false,
         | 
| 12 | 
            +
                "normalized": false,
         | 
| 13 | 
            +
                "rstrip": false,
         | 
| 14 | 
            +
                "single_word": false
         | 
| 15 | 
            +
              },
         | 
| 16 | 
            +
              "pad_token": "<|endoftext|>",
         | 
| 17 | 
            +
              "unk_token": {
         | 
| 18 | 
            +
                "content": "<|endoftext|>",
         | 
| 19 | 
            +
                "lstrip": false,
         | 
| 20 | 
            +
                "normalized": false,
         | 
| 21 | 
            +
                "rstrip": false,
         | 
| 22 | 
            +
                "single_word": false
         | 
| 23 | 
            +
              }
         | 
| 24 | 
            +
            }
         | 
    	
        checkpoint-2500/tokenizer.json
    ADDED
    
    | The diff for this file is too large to render. 
		See raw diff | 
|  | 
    	
        checkpoint-2500/tokenizer_config.json
    ADDED
    
    | @@ -0,0 +1,393 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "add_bos_token": false,
         | 
| 3 | 
            +
              "add_eos_token": true,
         | 
| 4 | 
            +
              "add_prefix_space": false,
         | 
| 5 | 
            +
              "added_tokens_decoder": {
         | 
| 6 | 
            +
                "0": {
         | 
| 7 | 
            +
                  "content": "<|endoftext|>",
         | 
| 8 | 
            +
                  "lstrip": false,
         | 
| 9 | 
            +
                  "normalized": false,
         | 
| 10 | 
            +
                  "rstrip": false,
         | 
| 11 | 
            +
                  "single_word": false,
         | 
| 12 | 
            +
                  "special": true
         | 
| 13 | 
            +
                },
         | 
| 14 | 
            +
                "1": {
         | 
| 15 | 
            +
                  "content": "<|padding|>",
         | 
| 16 | 
            +
                  "lstrip": false,
         | 
| 17 | 
            +
                  "normalized": false,
         | 
| 18 | 
            +
                  "rstrip": false,
         | 
| 19 | 
            +
                  "single_word": false,
         | 
| 20 | 
            +
                  "special": true
         | 
| 21 | 
            +
                },
         | 
| 22 | 
            +
                "50254": {
         | 
| 23 | 
            +
                  "content": "                        ",
         | 
| 24 | 
            +
                  "lstrip": false,
         | 
| 25 | 
            +
                  "normalized": true,
         | 
| 26 | 
            +
                  "rstrip": false,
         | 
| 27 | 
            +
                  "single_word": false,
         | 
| 28 | 
            +
                  "special": false
         | 
| 29 | 
            +
                },
         | 
| 30 | 
            +
                "50255": {
         | 
| 31 | 
            +
                  "content": "                       ",
         | 
| 32 | 
            +
                  "lstrip": false,
         | 
| 33 | 
            +
                  "normalized": true,
         | 
| 34 | 
            +
                  "rstrip": false,
         | 
| 35 | 
            +
                  "single_word": false,
         | 
| 36 | 
            +
                  "special": false
         | 
| 37 | 
            +
                },
         | 
| 38 | 
            +
                "50256": {
         | 
| 39 | 
            +
                  "content": "                      ",
         | 
| 40 | 
            +
                  "lstrip": false,
         | 
| 41 | 
            +
                  "normalized": true,
         | 
| 42 | 
            +
                  "rstrip": false,
         | 
| 43 | 
            +
                  "single_word": false,
         | 
| 44 | 
            +
                  "special": false
         | 
| 45 | 
            +
                },
         | 
| 46 | 
            +
                "50257": {
         | 
| 47 | 
            +
                  "content": "                     ",
         | 
| 48 | 
            +
                  "lstrip": false,
         | 
| 49 | 
            +
                  "normalized": true,
         | 
| 50 | 
            +
                  "rstrip": false,
         | 
| 51 | 
            +
                  "single_word": false,
         | 
| 52 | 
            +
                  "special": false
         | 
| 53 | 
            +
                },
         | 
| 54 | 
            +
                "50258": {
         | 
| 55 | 
            +
                  "content": "                    ",
         | 
| 56 | 
            +
                  "lstrip": false,
         | 
| 57 | 
            +
                  "normalized": true,
         | 
| 58 | 
            +
                  "rstrip": false,
         | 
| 59 | 
            +
                  "single_word": false,
         | 
| 60 | 
            +
                  "special": false
         | 
| 61 | 
            +
                },
         | 
| 62 | 
            +
                "50259": {
         | 
| 63 | 
            +
                  "content": "                   ",
         | 
| 64 | 
            +
                  "lstrip": false,
         | 
| 65 | 
            +
                  "normalized": true,
         | 
| 66 | 
            +
                  "rstrip": false,
         | 
| 67 | 
            +
                  "single_word": false,
         | 
| 68 | 
            +
                  "special": false
         | 
| 69 | 
            +
                },
         | 
| 70 | 
            +
                "50260": {
         | 
| 71 | 
            +
                  "content": "                  ",
         | 
| 72 | 
            +
                  "lstrip": false,
         | 
| 73 | 
            +
                  "normalized": true,
         | 
| 74 | 
            +
                  "rstrip": false,
         | 
| 75 | 
            +
                  "single_word": false,
         | 
| 76 | 
            +
                  "special": false
         | 
| 77 | 
            +
                },
         | 
| 78 | 
            +
                "50261": {
         | 
| 79 | 
            +
                  "content": "                 ",
         | 
| 80 | 
            +
                  "lstrip": false,
         | 
| 81 | 
            +
                  "normalized": true,
         | 
| 82 | 
            +
                  "rstrip": false,
         | 
| 83 | 
            +
                  "single_word": false,
         | 
| 84 | 
            +
                  "special": false
         | 
| 85 | 
            +
                },
         | 
| 86 | 
            +
                "50262": {
         | 
| 87 | 
            +
                  "content": "                ",
         | 
| 88 | 
            +
                  "lstrip": false,
         | 
| 89 | 
            +
                  "normalized": true,
         | 
| 90 | 
            +
                  "rstrip": false,
         | 
| 91 | 
            +
                  "single_word": false,
         | 
| 92 | 
            +
                  "special": false
         | 
| 93 | 
            +
                },
         | 
| 94 | 
            +
                "50263": {
         | 
| 95 | 
            +
                  "content": "               ",
         | 
| 96 | 
            +
                  "lstrip": false,
         | 
| 97 | 
            +
                  "normalized": true,
         | 
| 98 | 
            +
                  "rstrip": false,
         | 
| 99 | 
            +
                  "single_word": false,
         | 
| 100 | 
            +
                  "special": false
         | 
| 101 | 
            +
                },
         | 
| 102 | 
            +
                "50264": {
         | 
| 103 | 
            +
                  "content": "              ",
         | 
| 104 | 
            +
                  "lstrip": false,
         | 
| 105 | 
            +
                  "normalized": true,
         | 
| 106 | 
            +
                  "rstrip": false,
         | 
| 107 | 
            +
                  "single_word": false,
         | 
| 108 | 
            +
                  "special": false
         | 
| 109 | 
            +
                },
         | 
| 110 | 
            +
                "50265": {
         | 
| 111 | 
            +
                  "content": "             ",
         | 
| 112 | 
            +
                  "lstrip": false,
         | 
| 113 | 
            +
                  "normalized": true,
         | 
| 114 | 
            +
                  "rstrip": false,
         | 
| 115 | 
            +
                  "single_word": false,
         | 
| 116 | 
            +
                  "special": false
         | 
| 117 | 
            +
                },
         | 
| 118 | 
            +
                "50266": {
         | 
| 119 | 
            +
                  "content": "            ",
         | 
| 120 | 
            +
                  "lstrip": false,
         | 
| 121 | 
            +
                  "normalized": true,
         | 
| 122 | 
            +
                  "rstrip": false,
         | 
| 123 | 
            +
                  "single_word": false,
         | 
| 124 | 
            +
                  "special": false
         | 
| 125 | 
            +
                },
         | 
| 126 | 
            +
                "50267": {
         | 
| 127 | 
            +
                  "content": "           ",
         | 
| 128 | 
            +
                  "lstrip": false,
         | 
| 129 | 
            +
                  "normalized": true,
         | 
| 130 | 
            +
                  "rstrip": false,
         | 
| 131 | 
            +
                  "single_word": false,
         | 
| 132 | 
            +
                  "special": false
         | 
| 133 | 
            +
                },
         | 
| 134 | 
            +
                "50268": {
         | 
| 135 | 
            +
                  "content": "          ",
         | 
| 136 | 
            +
                  "lstrip": false,
         | 
| 137 | 
            +
                  "normalized": true,
         | 
| 138 | 
            +
                  "rstrip": false,
         | 
| 139 | 
            +
                  "single_word": false,
         | 
| 140 | 
            +
                  "special": false
         | 
| 141 | 
            +
                },
         | 
| 142 | 
            +
                "50269": {
         | 
| 143 | 
            +
                  "content": "         ",
         | 
| 144 | 
            +
                  "lstrip": false,
         | 
| 145 | 
            +
                  "normalized": true,
         | 
| 146 | 
            +
                  "rstrip": false,
         | 
| 147 | 
            +
                  "single_word": false,
         | 
| 148 | 
            +
                  "special": false
         | 
| 149 | 
            +
                },
         | 
| 150 | 
            +
                "50270": {
         | 
| 151 | 
            +
                  "content": "        ",
         | 
| 152 | 
            +
                  "lstrip": false,
         | 
| 153 | 
            +
                  "normalized": true,
         | 
| 154 | 
            +
                  "rstrip": false,
         | 
| 155 | 
            +
                  "single_word": false,
         | 
| 156 | 
            +
                  "special": false
         | 
| 157 | 
            +
                },
         | 
| 158 | 
            +
                "50271": {
         | 
| 159 | 
            +
                  "content": "       ",
         | 
| 160 | 
            +
                  "lstrip": false,
         | 
| 161 | 
            +
                  "normalized": true,
         | 
| 162 | 
            +
                  "rstrip": false,
         | 
| 163 | 
            +
                  "single_word": false,
         | 
| 164 | 
            +
                  "special": false
         | 
| 165 | 
            +
                },
         | 
| 166 | 
            +
                "50272": {
         | 
| 167 | 
            +
                  "content": "      ",
         | 
| 168 | 
            +
                  "lstrip": false,
         | 
| 169 | 
            +
                  "normalized": true,
         | 
| 170 | 
            +
                  "rstrip": false,
         | 
| 171 | 
            +
                  "single_word": false,
         | 
| 172 | 
            +
                  "special": false
         | 
| 173 | 
            +
                },
         | 
| 174 | 
            +
                "50273": {
         | 
| 175 | 
            +
                  "content": "     ",
         | 
| 176 | 
            +
                  "lstrip": false,
         | 
| 177 | 
            +
                  "normalized": true,
         | 
| 178 | 
            +
                  "rstrip": false,
         | 
| 179 | 
            +
                  "single_word": false,
         | 
| 180 | 
            +
                  "special": false
         | 
| 181 | 
            +
                },
         | 
| 182 | 
            +
                "50274": {
         | 
| 183 | 
            +
                  "content": "    ",
         | 
| 184 | 
            +
                  "lstrip": false,
         | 
| 185 | 
            +
                  "normalized": true,
         | 
| 186 | 
            +
                  "rstrip": false,
         | 
| 187 | 
            +
                  "single_word": false,
         | 
| 188 | 
            +
                  "special": false
         | 
| 189 | 
            +
                },
         | 
| 190 | 
            +
                "50275": {
         | 
| 191 | 
            +
                  "content": "   ",
         | 
| 192 | 
            +
                  "lstrip": false,
         | 
| 193 | 
            +
                  "normalized": true,
         | 
| 194 | 
            +
                  "rstrip": false,
         | 
| 195 | 
            +
                  "single_word": false,
         | 
| 196 | 
            +
                  "special": false
         | 
| 197 | 
            +
                },
         | 
| 198 | 
            +
                "50276": {
         | 
| 199 | 
            +
                  "content": "  ",
         | 
| 200 | 
            +
                  "lstrip": false,
         | 
| 201 | 
            +
                  "normalized": true,
         | 
| 202 | 
            +
                  "rstrip": false,
         | 
| 203 | 
            +
                  "single_word": false,
         | 
| 204 | 
            +
                  "special": false
         | 
| 205 | 
            +
                },
         | 
| 206 | 
            +
                "50277": {
         | 
| 207 | 
            +
                  "content": "<fim_prefix>",
         | 
| 208 | 
            +
                  "lstrip": false,
         | 
| 209 | 
            +
                  "normalized": false,
         | 
| 210 | 
            +
                  "rstrip": false,
         | 
| 211 | 
            +
                  "single_word": false,
         | 
| 212 | 
            +
                  "special": true
         | 
| 213 | 
            +
                },
         | 
| 214 | 
            +
                "50278": {
         | 
| 215 | 
            +
                  "content": "<fim_middle>",
         | 
| 216 | 
            +
                  "lstrip": false,
         | 
| 217 | 
            +
                  "normalized": false,
         | 
| 218 | 
            +
                  "rstrip": false,
         | 
| 219 | 
            +
                  "single_word": false,
         | 
| 220 | 
            +
                  "special": true
         | 
| 221 | 
            +
                },
         | 
| 222 | 
            +
                "50279": {
         | 
| 223 | 
            +
                  "content": "<fim_suffix>",
         | 
| 224 | 
            +
                  "lstrip": false,
         | 
| 225 | 
            +
                  "normalized": false,
         | 
| 226 | 
            +
                  "rstrip": false,
         | 
| 227 | 
            +
                  "single_word": false,
         | 
| 228 | 
            +
                  "special": true
         | 
| 229 | 
            +
                },
         | 
| 230 | 
            +
                "50280": {
         | 
| 231 | 
            +
                  "content": "<fim_pad>",
         | 
| 232 | 
            +
                  "lstrip": false,
         | 
| 233 | 
            +
                  "normalized": false,
         | 
| 234 | 
            +
                  "rstrip": false,
         | 
| 235 | 
            +
                  "single_word": false,
         | 
| 236 | 
            +
                  "special": true
         | 
| 237 | 
            +
                },
         | 
| 238 | 
            +
                "50281": {
         | 
| 239 | 
            +
                  "content": "<filename>",
         | 
| 240 | 
            +
                  "lstrip": false,
         | 
| 241 | 
            +
                  "normalized": false,
         | 
| 242 | 
            +
                  "rstrip": false,
         | 
| 243 | 
            +
                  "single_word": false,
         | 
| 244 | 
            +
                  "special": true
         | 
| 245 | 
            +
                },
         | 
| 246 | 
            +
                "50282": {
         | 
| 247 | 
            +
                  "content": "<gh_stars>",
         | 
| 248 | 
            +
                  "lstrip": false,
         | 
| 249 | 
            +
                  "normalized": false,
         | 
| 250 | 
            +
                  "rstrip": false,
         | 
| 251 | 
            +
                  "single_word": false,
         | 
| 252 | 
            +
                  "special": true
         | 
| 253 | 
            +
                },
         | 
| 254 | 
            +
                "50283": {
         | 
| 255 | 
            +
                  "content": "<issue_start>",
         | 
| 256 | 
            +
                  "lstrip": false,
         | 
| 257 | 
            +
                  "normalized": false,
         | 
| 258 | 
            +
                  "rstrip": false,
         | 
| 259 | 
            +
                  "single_word": false,
         | 
| 260 | 
            +
                  "special": true
         | 
| 261 | 
            +
                },
         | 
| 262 | 
            +
                "50284": {
         | 
| 263 | 
            +
                  "content": "<issue_comment>",
         | 
| 264 | 
            +
                  "lstrip": false,
         | 
| 265 | 
            +
                  "normalized": false,
         | 
| 266 | 
            +
                  "rstrip": false,
         | 
| 267 | 
            +
                  "single_word": false,
         | 
| 268 | 
            +
                  "special": true
         | 
| 269 | 
            +
                },
         | 
| 270 | 
            +
                "50285": {
         | 
| 271 | 
            +
                  "content": "<issue_closed>",
         | 
| 272 | 
            +
                  "lstrip": false,
         | 
| 273 | 
            +
                  "normalized": false,
         | 
| 274 | 
            +
                  "rstrip": false,
         | 
| 275 | 
            +
                  "single_word": false,
         | 
| 276 | 
            +
                  "special": true
         | 
| 277 | 
            +
                },
         | 
| 278 | 
            +
                "50286": {
         | 
| 279 | 
            +
                  "content": "<jupyter_start>",
         | 
| 280 | 
            +
                  "lstrip": false,
         | 
| 281 | 
            +
                  "normalized": false,
         | 
| 282 | 
            +
                  "rstrip": false,
         | 
| 283 | 
            +
                  "single_word": false,
         | 
| 284 | 
            +
                  "special": true
         | 
| 285 | 
            +
                },
         | 
| 286 | 
            +
                "50287": {
         | 
| 287 | 
            +
                  "content": "<jupyter_text>",
         | 
| 288 | 
            +
                  "lstrip": false,
         | 
| 289 | 
            +
                  "normalized": false,
         | 
| 290 | 
            +
                  "rstrip": false,
         | 
| 291 | 
            +
                  "single_word": false,
         | 
| 292 | 
            +
                  "special": true
         | 
| 293 | 
            +
                },
         | 
| 294 | 
            +
                "50288": {
         | 
| 295 | 
            +
                  "content": "<jupyter_code>",
         | 
| 296 | 
            +
                  "lstrip": false,
         | 
| 297 | 
            +
                  "normalized": false,
         | 
| 298 | 
            +
                  "rstrip": false,
         | 
| 299 | 
            +
                  "single_word": false,
         | 
| 300 | 
            +
                  "special": true
         | 
| 301 | 
            +
                },
         | 
| 302 | 
            +
                "50289": {
         | 
| 303 | 
            +
                  "content": "<jupyter_output>",
         | 
| 304 | 
            +
                  "lstrip": false,
         | 
| 305 | 
            +
                  "normalized": false,
         | 
| 306 | 
            +
                  "rstrip": false,
         | 
| 307 | 
            +
                  "single_word": false,
         | 
| 308 | 
            +
                  "special": true
         | 
| 309 | 
            +
                },
         | 
| 310 | 
            +
                "50290": {
         | 
| 311 | 
            +
                  "content": "<empty_output>",
         | 
| 312 | 
            +
                  "lstrip": false,
         | 
| 313 | 
            +
                  "normalized": false,
         | 
| 314 | 
            +
                  "rstrip": false,
         | 
| 315 | 
            +
                  "single_word": false,
         | 
| 316 | 
            +
                  "special": true
         | 
| 317 | 
            +
                },
         | 
| 318 | 
            +
                "50291": {
         | 
| 319 | 
            +
                  "content": "<commit_before>",
         | 
| 320 | 
            +
                  "lstrip": false,
         | 
| 321 | 
            +
                  "normalized": false,
         | 
| 322 | 
            +
                  "rstrip": false,
         | 
| 323 | 
            +
                  "single_word": false,
         | 
| 324 | 
            +
                  "special": true
         | 
| 325 | 
            +
                },
         | 
| 326 | 
            +
                "50292": {
         | 
| 327 | 
            +
                  "content": "<commit_msg>",
         | 
| 328 | 
            +
                  "lstrip": false,
         | 
| 329 | 
            +
                  "normalized": false,
         | 
| 330 | 
            +
                  "rstrip": false,
         | 
| 331 | 
            +
                  "single_word": false,
         | 
| 332 | 
            +
                  "special": true
         | 
| 333 | 
            +
                },
         | 
| 334 | 
            +
                "50293": {
         | 
| 335 | 
            +
                  "content": "<commit_after>",
         | 
| 336 | 
            +
                  "lstrip": false,
         | 
| 337 | 
            +
                  "normalized": false,
         | 
| 338 | 
            +
                  "rstrip": false,
         | 
| 339 | 
            +
                  "single_word": false,
         | 
| 340 | 
            +
                  "special": true
         | 
| 341 | 
            +
                },
         | 
| 342 | 
            +
                "50294": {
         | 
| 343 | 
            +
                  "content": "<reponame>",
         | 
| 344 | 
            +
                  "lstrip": false,
         | 
| 345 | 
            +
                  "normalized": false,
         | 
| 346 | 
            +
                  "rstrip": false,
         | 
| 347 | 
            +
                  "single_word": false,
         | 
| 348 | 
            +
                  "special": true
         | 
| 349 | 
            +
                },
         | 
| 350 | 
            +
                "50295": {
         | 
| 351 | 
            +
                  "content": "<repo_continuation>",
         | 
| 352 | 
            +
                  "lstrip": false,
         | 
| 353 | 
            +
                  "normalized": false,
         | 
| 354 | 
            +
                  "rstrip": false,
         | 
| 355 | 
            +
                  "single_word": false,
         | 
| 356 | 
            +
                  "special": true
         | 
| 357 | 
            +
                },
         | 
| 358 | 
            +
                "50296": {
         | 
| 359 | 
            +
                  "content": "[PAD]",
         | 
| 360 | 
            +
                  "lstrip": false,
         | 
| 361 | 
            +
                  "normalized": false,
         | 
| 362 | 
            +
                  "rstrip": false,
         | 
| 363 | 
            +
                  "single_word": false,
         | 
| 364 | 
            +
                  "special": true
         | 
| 365 | 
            +
                },
         | 
| 366 | 
            +
                "50297": {
         | 
| 367 | 
            +
                  "content": "<|im_start|>",
         | 
| 368 | 
            +
                  "lstrip": false,
         | 
| 369 | 
            +
                  "normalized": false,
         | 
| 370 | 
            +
                  "rstrip": false,
         | 
| 371 | 
            +
                  "single_word": false,
         | 
| 372 | 
            +
                  "special": false
         | 
| 373 | 
            +
                },
         | 
| 374 | 
            +
                "50298": {
         | 
| 375 | 
            +
                  "content": "<|im_end|>",
         | 
| 376 | 
            +
                  "lstrip": false,
         | 
| 377 | 
            +
                  "normalized": false,
         | 
| 378 | 
            +
                  "rstrip": false,
         | 
| 379 | 
            +
                  "single_word": false,
         | 
| 380 | 
            +
                  "special": false
         | 
| 381 | 
            +
                }
         | 
| 382 | 
            +
              },
         | 
| 383 | 
            +
              "bos_token": "<|endoftext|>",
         | 
| 384 | 
            +
              "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'You are a helpful assistant.' %}{% endif %}{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in loop_messages %}{% if loop.index0 == 0 %}{{'<|im_start|>system\n' + system_message + '<|im_end|>\n'}}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
         | 
| 385 | 
            +
              "clean_up_tokenization_spaces": true,
         | 
| 386 | 
            +
              "eos_token": "<|endoftext|>",
         | 
| 387 | 
            +
              "extra_special_tokens": {},
         | 
| 388 | 
            +
              "map_device": "auto",
         | 
| 389 | 
            +
              "model_max_length": 4096,
         | 
| 390 | 
            +
              "pad_token": "<|endoftext|>",
         | 
| 391 | 
            +
              "tokenizer_class": "GPTNeoXTokenizer",
         | 
| 392 | 
            +
              "unk_token": "<|endoftext|>"
         | 
| 393 | 
            +
            }
         | 
    	
        checkpoint-2500/trainer_state.json
    ADDED
    
    | @@ -0,0 +1,183 @@ | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            {
         | 
| 2 | 
            +
              "best_metric": null,
         | 
| 3 | 
            +
              "best_model_checkpoint": null,
         | 
| 4 | 
            +
              "epoch": 4.672112018669778,
         | 
| 5 | 
            +
              "eval_steps": 250,
         | 
| 6 | 
            +
              "global_step": 2500,
         | 
| 7 | 
            +
              "is_hyper_param_search": false,
         | 
| 8 | 
            +
              "is_local_process_zero": true,
         | 
| 9 | 
            +
              "is_world_process_zero": true,
         | 
| 10 | 
            +
              "log_history": [
         | 
| 11 | 
            +
                {
         | 
| 12 | 
            +
                  "epoch": 0.46674445740956827,
         | 
| 13 | 
            +
                  "grad_norm": 6.355308532714844,
         | 
| 14 | 
            +
                  "learning_rate": 9.899294610497411e-05,
         | 
| 15 | 
            +
                  "loss": 3.4363,
         | 
| 16 | 
            +
                  "step": 250
         | 
| 17 | 
            +
                },
         | 
| 18 | 
            +
                {
         | 
| 19 | 
            +
                  "epoch": 0.46674445740956827,
         | 
| 20 | 
            +
                  "eval_loss": 0.2021917849779129,
         | 
| 21 | 
            +
                  "eval_runtime": 11.2146,
         | 
| 22 | 
            +
                  "eval_samples_per_second": 7.758,
         | 
| 23 | 
            +
                  "eval_steps_per_second": 7.758,
         | 
| 24 | 
            +
                  "step": 250
         | 
| 25 | 
            +
                },
         | 
| 26 | 
            +
                {
         | 
| 27 | 
            +
                  "epoch": 0.9334889148191365,
         | 
| 28 | 
            +
                  "grad_norm": 2.1196815967559814,
         | 
| 29 | 
            +
                  "learning_rate": 9.378729871108362e-05,
         | 
| 30 | 
            +
                  "loss": 1.1086,
         | 
| 31 | 
            +
                  "step": 500
         | 
| 32 | 
            +
                },
         | 
| 33 | 
            +
                {
         | 
| 34 | 
            +
                  "epoch": 0.9334889148191365,
         | 
| 35 | 
            +
                  "eval_loss": 0.13436643779277802,
         | 
| 36 | 
            +
                  "eval_runtime": 11.2216,
         | 
| 37 | 
            +
                  "eval_samples_per_second": 7.753,
         | 
| 38 | 
            +
                  "eval_steps_per_second": 7.753,
         | 
| 39 | 
            +
                  "step": 500
         | 
| 40 | 
            +
                },
         | 
| 41 | 
            +
                {
         | 
| 42 | 
            +
                  "epoch": 1.4014002333722286,
         | 
| 43 | 
            +
                  "grad_norm": 0.9552448391914368,
         | 
| 44 | 
            +
                  "learning_rate": 8.459812499901582e-05,
         | 
| 45 | 
            +
                  "loss": 0.817,
         | 
| 46 | 
            +
                  "step": 750
         | 
| 47 | 
            +
                },
         | 
| 48 | 
            +
                {
         | 
| 49 | 
            +
                  "epoch": 1.4014002333722286,
         | 
| 50 | 
            +
                  "eval_loss": 0.12236687541007996,
         | 
| 51 | 
            +
                  "eval_runtime": 11.2082,
         | 
| 52 | 
            +
                  "eval_samples_per_second": 7.762,
         | 
| 53 | 
            +
                  "eval_steps_per_second": 7.762,
         | 
| 54 | 
            +
                  "step": 750
         | 
| 55 | 
            +
                },
         | 
| 56 | 
            +
                {
         | 
| 57 | 
            +
                  "epoch": 1.8681446907817971,
         | 
| 58 | 
            +
                  "grad_norm": 0.8024685978889465,
         | 
| 59 | 
            +
                  "learning_rate": 7.226140518225348e-05,
         | 
| 60 | 
            +
                  "loss": 0.7757,
         | 
| 61 | 
            +
                  "step": 1000
         | 
| 62 | 
            +
                },
         | 
| 63 | 
            +
                {
         | 
| 64 | 
            +
                  "epoch": 1.8681446907817971,
         | 
| 65 | 
            +
                  "eval_loss": 0.11266180872917175,
         | 
| 66 | 
            +
                  "eval_runtime": 11.2333,
         | 
| 67 | 
            +
                  "eval_samples_per_second": 7.745,
         | 
| 68 | 
            +
                  "eval_steps_per_second": 7.745,
         | 
| 69 | 
            +
                  "step": 1000
         | 
| 70 | 
            +
                },
         | 
| 71 | 
            +
                {
         | 
| 72 | 
            +
                  "epoch": 2.336056009334889,
         | 
| 73 | 
            +
                  "grad_norm": 1.2465705871582031,
         | 
| 74 | 
            +
                  "learning_rate": 5.7899465814766306e-05,
         | 
| 75 | 
            +
                  "loss": 0.6768,
         | 
| 76 | 
            +
                  "step": 1250
         | 
| 77 | 
            +
                },
         | 
| 78 | 
            +
                {
         | 
| 79 | 
            +
                  "epoch": 2.336056009334889,
         | 
| 80 | 
            +
                  "eval_loss": 0.11375312507152557,
         | 
| 81 | 
            +
                  "eval_runtime": 11.2449,
         | 
| 82 | 
            +
                  "eval_samples_per_second": 7.737,
         | 
| 83 | 
            +
                  "eval_steps_per_second": 7.737,
         | 
| 84 | 
            +
                  "step": 1250
         | 
| 85 | 
            +
                },
         | 
| 86 | 
            +
                {
         | 
| 87 | 
            +
                  "epoch": 2.8028004667444573,
         | 
| 88 | 
            +
                  "grad_norm": 1.350077748298645,
         | 
| 89 | 
            +
                  "learning_rate": 4.281887672695056e-05,
         | 
| 90 | 
            +
                  "loss": 0.6549,
         | 
| 91 | 
            +
                  "step": 1500
         | 
| 92 | 
            +
                },
         | 
| 93 | 
            +
                {
         | 
| 94 | 
            +
                  "epoch": 2.8028004667444573,
         | 
| 95 | 
            +
                  "eval_loss": 0.10809295624494553,
         | 
| 96 | 
            +
                  "eval_runtime": 11.217,
         | 
| 97 | 
            +
                  "eval_samples_per_second": 7.756,
         | 
| 98 | 
            +
                  "eval_steps_per_second": 7.756,
         | 
| 99 | 
            +
                  "step": 1500
         | 
| 100 | 
            +
                },
         | 
| 101 | 
            +
                {
         | 
| 102 | 
            +
                  "epoch": 3.2707117852975496,
         | 
| 103 | 
            +
                  "grad_norm": 1.6034570932388306,
         | 
| 104 | 
            +
                  "learning_rate": 2.8391586527038743e-05,
         | 
| 105 | 
            +
                  "loss": 0.627,
         | 
| 106 | 
            +
                  "step": 1750
         | 
| 107 | 
            +
                },
         | 
| 108 | 
            +
                {
         | 
| 109 | 
            +
                  "epoch": 3.2707117852975496,
         | 
| 110 | 
            +
                  "eval_loss": 0.10999161005020142,
         | 
| 111 | 
            +
                  "eval_runtime": 11.2004,
         | 
| 112 | 
            +
                  "eval_samples_per_second": 7.768,
         | 
| 113 | 
            +
                  "eval_steps_per_second": 7.768,
         | 
| 114 | 
            +
                  "step": 1750
         | 
| 115 | 
            +
                },
         | 
| 116 | 
            +
                {
         | 
| 117 | 
            +
                  "epoch": 3.737456242707118,
         | 
| 118 | 
            +
                  "grad_norm": 1.894575595855713,
         | 
| 119 | 
            +
                  "learning_rate": 1.5930110302808637e-05,
         | 
| 120 | 
            +
                  "loss": 0.5768,
         | 
| 121 | 
            +
                  "step": 2000
         | 
| 122 | 
            +
                },
         | 
| 123 | 
            +
                {
         | 
| 124 | 
            +
                  "epoch": 3.737456242707118,
         | 
| 125 | 
            +
                  "eval_loss": 0.10841962695121765,
         | 
| 126 | 
            +
                  "eval_runtime": 11.2,
         | 
| 127 | 
            +
                  "eval_samples_per_second": 7.768,
         | 
| 128 | 
            +
                  "eval_steps_per_second": 7.768,
         | 
| 129 | 
            +
                  "step": 2000
         | 
| 130 | 
            +
                },
         | 
| 131 | 
            +
                {
         | 
| 132 | 
            +
                  "epoch": 4.20536756126021,
         | 
| 133 | 
            +
                  "grad_norm": 0.6385487914085388,
         | 
| 134 | 
            +
                  "learning_rate": 6.5681242563502555e-06,
         | 
| 135 | 
            +
                  "loss": 0.5417,
         | 
| 136 | 
            +
                  "step": 2250
         | 
| 137 | 
            +
                },
         | 
| 138 | 
            +
                {
         | 
| 139 | 
            +
                  "epoch": 4.20536756126021,
         | 
| 140 | 
            +
                  "eval_loss": 0.1111413985490799,
         | 
| 141 | 
            +
                  "eval_runtime": 11.2055,
         | 
| 142 | 
            +
                  "eval_samples_per_second": 7.764,
         | 
| 143 | 
            +
                  "eval_steps_per_second": 7.764,
         | 
| 144 | 
            +
                  "step": 2250
         | 
| 145 | 
            +
                },
         | 
| 146 | 
            +
                {
         | 
| 147 | 
            +
                  "epoch": 4.672112018669778,
         | 
| 148 | 
            +
                  "grad_norm": 0.6520176529884338,
         | 
| 149 | 
            +
                  "learning_rate": 1.15733011177645e-06,
         | 
| 150 | 
            +
                  "loss": 0.5282,
         | 
| 151 | 
            +
                  "step": 2500
         | 
| 152 | 
            +
                },
         | 
| 153 | 
            +
                {
         | 
| 154 | 
            +
                  "epoch": 4.672112018669778,
         | 
| 155 | 
            +
                  "eval_loss": 0.11089722812175751,
         | 
| 156 | 
            +
                  "eval_runtime": 11.1992,
         | 
| 157 | 
            +
                  "eval_samples_per_second": 7.768,
         | 
| 158 | 
            +
                  "eval_steps_per_second": 7.768,
         | 
| 159 | 
            +
                  "step": 2500
         | 
| 160 | 
            +
                }
         | 
| 161 | 
            +
              ],
         | 
| 162 | 
            +
              "logging_steps": 250,
         | 
| 163 | 
            +
              "max_steps": 2675,
         | 
| 164 | 
            +
              "num_input_tokens_seen": 0,
         | 
| 165 | 
            +
              "num_train_epochs": 5,
         | 
| 166 | 
            +
              "save_steps": 250,
         | 
| 167 | 
            +
              "stateful_callbacks": {
         | 
| 168 | 
            +
                "TrainerControl": {
         | 
| 169 | 
            +
                  "args": {
         | 
| 170 | 
            +
                    "should_epoch_stop": false,
         | 
| 171 | 
            +
                    "should_evaluate": false,
         | 
| 172 | 
            +
                    "should_log": false,
         | 
| 173 | 
            +
                    "should_save": true,
         | 
| 174 | 
            +
                    "should_training_stop": false
         | 
| 175 | 
            +
                  },
         | 
| 176 | 
            +
                  "attributes": {}
         | 
| 177 | 
            +
                }
         | 
| 178 | 
            +
              },
         | 
| 179 | 
            +
              "total_flos": 3.956024589606912e+17,
         | 
| 180 | 
            +
              "train_batch_size": 2,
         | 
| 181 | 
            +
              "trial_name": null,
         | 
| 182 | 
            +
              "trial_params": null
         | 
| 183 | 
            +
            }
         | 
    	
        checkpoint-2500/training_args.bin
    ADDED
    
    | @@ -0,0 +1,3 @@ | |
|  | |
|  | |
|  | 
|  | |
| 1 | 
            +
            version https://git-lfs.github.com/spec/v1
         | 
| 2 | 
            +
            oid sha256:7edc42963610754e4ce962caf69cdfc91e067cfb5cb9681a9b07452e8345de11
         | 
| 3 | 
            +
            size 5560
         |