finalform commited on
Commit
c52d317
·
verified ·
1 Parent(s): 6e72125

Delete checkpoint-750

Browse files
checkpoint-750/README.md DELETED
@@ -1,202 +0,0 @@
1
- ---
2
- base_model: mistralai/Mistral-7B-Instruct-v0.3
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 0.15.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
checkpoint-750/adapter_config.json DELETED
@@ -1,39 +0,0 @@
1
- {
2
- "alpha_pattern": {},
3
- "auto_mapping": null,
4
- "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
5
- "bias": "none",
6
- "corda_config": null,
7
- "eva_config": null,
8
- "exclude_modules": null,
9
- "fan_in_fan_out": false,
10
- "inference_mode": true,
11
- "init_lora_weights": true,
12
- "layer_replication": null,
13
- "layers_pattern": null,
14
- "layers_to_transform": null,
15
- "loftq_config": {},
16
- "lora_alpha": 16,
17
- "lora_bias": false,
18
- "lora_dropout": 0.1,
19
- "megatron_config": null,
20
- "megatron_core": "megatron.core",
21
- "modules_to_save": null,
22
- "peft_type": "LORA",
23
- "r": 32,
24
- "rank_pattern": {},
25
- "revision": null,
26
- "target_modules": [
27
- "up_proj",
28
- "q_proj",
29
- "gate_proj",
30
- "k_proj",
31
- "o_proj",
32
- "down_proj",
33
- "v_proj"
34
- ],
35
- "task_type": "CAUSAL_LM",
36
- "trainable_token_indices": null,
37
- "use_dora": false,
38
- "use_rslora": false
39
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
checkpoint-750/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:595ca2e2475f9c93aafa66613147d83a2411dc0d8b40e342e9c4c72645add5af
3
- size 335604696
 
 
 
 
checkpoint-750/chat_template.jinja DELETED
@@ -1,87 +0,0 @@
1
- {%- if messages[0]["role"] == "system" %}
2
- {%- set system_message = messages[0]["content"] %}
3
- {%- set loop_messages = messages[1:] %}
4
- {%- else %}
5
- {%- set loop_messages = messages %}
6
- {%- endif %}
7
- {%- if not tools is defined %}
8
- {%- set tools = none %}
9
- {%- endif %}
10
- {%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
11
-
12
- {#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
13
- {%- set ns = namespace() %}
14
- {%- set ns.index = 0 %}
15
- {%- for message in loop_messages %}
16
- {%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
17
- {%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
18
- {{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
19
- {%- endif %}
20
- {%- set ns.index = ns.index + 1 %}
21
- {%- endif %}
22
- {%- endfor %}
23
-
24
- {{- bos_token }}
25
- {%- for message in loop_messages %}
26
- {%- if message["role"] == "user" %}
27
- {%- if tools is not none and (message == user_messages[-1]) %}
28
- {{- "[AVAILABLE_TOOLS] [" }}
29
- {%- for tool in tools %}
30
- {%- set tool = tool.function %}
31
- {{- '{"type": "function", "function": {' }}
32
- {%- for key, val in tool.items() if key != "return" %}
33
- {%- if val is string %}
34
- {{- '"' + key + '": "' + val + '"' }}
35
- {%- else %}
36
- {{- '"' + key + '": ' + val|tojson }}
37
- {%- endif %}
38
- {%- if not loop.last %}
39
- {{- ", " }}
40
- {%- endif %}
41
- {%- endfor %}
42
- {{- "}}" }}
43
- {%- if not loop.last %}
44
- {{- ", " }}
45
- {%- else %}
46
- {{- "]" }}
47
- {%- endif %}
48
- {%- endfor %}
49
- {{- "[/AVAILABLE_TOOLS]" }}
50
- {%- endif %}
51
- {%- if loop.last and system_message is defined %}
52
- {{- "[INST] " + system_message + "\n\n" + message["content"] + "[/INST]" }}
53
- {%- else %}
54
- {{- "[INST] " + message["content"] + "[/INST]" }}
55
- {%- endif %}
56
- {%- elif message.tool_calls is defined and message.tool_calls is not none %}
57
- {{- "[TOOL_CALLS] [" }}
58
- {%- for tool_call in message.tool_calls %}
59
- {%- set out = tool_call.function|tojson %}
60
- {{- out[:-1] }}
61
- {%- if not tool_call.id is defined or tool_call.id|length != 9 %}
62
- {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
63
- {%- endif %}
64
- {{- ', "id": "' + tool_call.id + '"}' }}
65
- {%- if not loop.last %}
66
- {{- ", " }}
67
- {%- else %}
68
- {{- "]" + eos_token }}
69
- {%- endif %}
70
- {%- endfor %}
71
- {%- elif message["role"] == "assistant" %}
72
- {{- " " + message["content"]|trim + eos_token}}
73
- {%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
74
- {%- if message.content is defined and message.content.content is defined %}
75
- {%- set content = message.content.content %}
76
- {%- else %}
77
- {%- set content = message.content %}
78
- {%- endif %}
79
- {{- '[TOOL_RESULTS] {"content": ' + content|string + ", " }}
80
- {%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
81
- {{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
82
- {%- endif %}
83
- {{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
84
- {%- else %}
85
- {{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
86
- {%- endif %}
87
- {%- endfor %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
checkpoint-750/optimizer.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:83e30208fcf6a2986dcff34248072a4ca735e33e5b9a93eb6791a1cc30b9fd71
3
- size 671365003
 
 
 
 
checkpoint-750/rng_state.pth DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:0e1d5f7258d0b432c28a11e89cbbae15550432e2658eff569dd87c859771098e
3
- size 14645
 
 
 
 
checkpoint-750/scheduler.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:f219c746dd03301eb7ed441bdaf27ac17211dfd9896a46898ad0379f606de1bf
3
- size 1465
 
 
 
 
checkpoint-750/special_tokens_map.json DELETED
@@ -1,24 +0,0 @@
1
- {
2
- "bos_token": {
3
- "content": "<s>",
4
- "lstrip": false,
5
- "normalized": false,
6
- "rstrip": false,
7
- "single_word": false
8
- },
9
- "eos_token": {
10
- "content": "</s>",
11
- "lstrip": false,
12
- "normalized": false,
13
- "rstrip": false,
14
- "single_word": false
15
- },
16
- "pad_token": "</s>",
17
- "unk_token": {
18
- "content": "<unk>",
19
- "lstrip": false,
20
- "normalized": false,
21
- "rstrip": false,
22
- "single_word": false
23
- }
24
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
checkpoint-750/tokenizer.json DELETED
The diff for this file is too large to render. See raw diff
 
checkpoint-750/tokenizer.model DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:37f00374dea48658ee8f5d0f21895b9bc55cb0103939607c8185bfd1c6ca1f89
3
- size 587404
 
 
 
 
checkpoint-750/tokenizer_config.json DELETED
The diff for this file is too large to render. See raw diff
 
checkpoint-750/trainer_state.json DELETED
@@ -1,304 +0,0 @@
1
- {
2
- "best_global_step": null,
3
- "best_metric": null,
4
- "best_model_checkpoint": null,
5
- "epoch": 1.8086904043452021,
6
- "eval_steps": 500,
7
- "global_step": 750,
8
- "is_hyper_param_search": false,
9
- "is_local_process_zero": true,
10
- "is_world_process_zero": true,
11
- "log_history": [
12
- {
13
- "epoch": 0.060350030175015085,
14
- "grad_norm": 0.5793627500534058,
15
- "learning_rate": 0.0001894736842105263,
16
- "loss": 1.3707,
17
- "mean_token_accuracy": 0.7029018896818161,
18
- "num_tokens": 151161.0,
19
- "step": 25
20
- },
21
- {
22
- "epoch": 0.12070006035003017,
23
- "grad_norm": 1.2419562339782715,
24
- "learning_rate": 0.00029993852448555923,
25
- "loss": 0.7659,
26
- "mean_token_accuracy": 0.80108578145504,
27
- "num_tokens": 265436.0,
28
- "step": 50
29
- },
30
- {
31
- "epoch": 0.18105009052504525,
32
- "grad_norm": 0.4667358696460724,
33
- "learning_rate": 0.00029934198818572623,
34
- "loss": 0.501,
35
- "mean_token_accuracy": 0.8612466764450073,
36
- "num_tokens": 417356.0,
37
- "step": 75
38
- },
39
- {
40
- "epoch": 0.24140012070006034,
41
- "grad_norm": 0.7186646461486816,
42
- "learning_rate": 0.0002981133400718627,
43
- "loss": 0.4179,
44
- "mean_token_accuracy": 0.8831446087360382,
45
- "num_tokens": 533197.0,
46
- "step": 100
47
- },
48
- {
49
- "epoch": 0.30175015087507545,
50
- "grad_norm": 0.4567926526069641,
51
- "learning_rate": 0.0002962577805768642,
52
- "loss": 0.3012,
53
- "mean_token_accuracy": 0.9136922436952591,
54
- "num_tokens": 684210.0,
55
- "step": 125
56
- },
57
- {
58
- "epoch": 0.3621001810500905,
59
- "grad_norm": 0.7855555415153503,
60
- "learning_rate": 0.00029378316362776546,
61
- "loss": 0.2884,
62
- "mean_token_accuracy": 0.9198938775062561,
63
- "num_tokens": 799855.0,
64
- "step": 150
65
- },
66
- {
67
- "epoch": 0.4224502112251056,
68
- "grad_norm": 0.425346314907074,
69
- "learning_rate": 0.0002906999634028451,
70
- "loss": 0.2046,
71
- "mean_token_accuracy": 0.9434206187725067,
72
- "num_tokens": 952618.0,
73
- "step": 175
74
- },
75
- {
76
- "epoch": 0.4828002414001207,
77
- "grad_norm": 0.8923455476760864,
78
- "learning_rate": 0.0002870212299981334,
79
- "loss": 0.2092,
80
- "mean_token_accuracy": 0.9423886704444885,
81
- "num_tokens": 1069395.0,
82
- "step": 200
83
- },
84
- {
85
- "epoch": 0.5431502715751357,
86
- "grad_norm": 0.5821242928504944,
87
- "learning_rate": 0.00028276253419097193,
88
- "loss": 0.1705,
89
- "mean_token_accuracy": 0.9522874486446381,
90
- "num_tokens": 1223999.0,
91
- "step": 225
92
- },
93
- {
94
- "epoch": 0.6035003017501509,
95
- "grad_norm": 0.578433096408844,
96
- "learning_rate": 0.00027794190153442033,
97
- "loss": 0.1616,
98
- "mean_token_accuracy": 0.9546902221441269,
99
- "num_tokens": 1339470.0,
100
- "step": 250
101
- },
102
- {
103
- "epoch": 0.663850331925166,
104
- "grad_norm": 0.33068814873695374,
105
- "learning_rate": 0.00027257973606146575,
106
- "loss": 0.1424,
107
- "mean_token_accuracy": 0.9617068099975586,
108
- "num_tokens": 1490588.0,
109
- "step": 275
110
- },
111
- {
112
- "epoch": 0.724200362100181,
113
- "grad_norm": 0.8222184777259827,
114
- "learning_rate": 0.0002666987339219681,
115
- "loss": 0.1345,
116
- "mean_token_accuracy": 0.9639392924308777,
117
- "num_tokens": 1608013.0,
118
- "step": 300
119
- },
120
- {
121
- "epoch": 0.7845503922751962,
122
- "grad_norm": 0.29796117544174194,
123
- "learning_rate": 0.0002603237873178853,
124
- "loss": 0.1271,
125
- "mean_token_accuracy": 0.9664761221408844,
126
- "num_tokens": 1762653.0,
127
- "step": 325
128
- },
129
- {
130
- "epoch": 0.8449004224502112,
131
- "grad_norm": 0.8289242386817932,
132
- "learning_rate": 0.0002534818791433866,
133
- "loss": 0.1156,
134
- "mean_token_accuracy": 0.9697828739881516,
135
- "num_tokens": 1879506.0,
136
- "step": 350
137
- },
138
- {
139
- "epoch": 0.9052504526252263,
140
- "grad_norm": 0.38812586665153503,
141
- "learning_rate": 0.00024620196877580576,
142
- "loss": 0.1044,
143
- "mean_token_accuracy": 0.9712535583972931,
144
- "num_tokens": 2031137.0,
145
- "step": 375
146
- },
147
- {
148
- "epoch": 0.9656004828002414,
149
- "grad_norm": 0.5313019752502441,
150
- "learning_rate": 0.00023851486950083892,
151
- "loss": 0.1076,
152
- "mean_token_accuracy": 0.9721251851320267,
153
- "num_tokens": 2147504.0,
154
- "step": 400
155
- },
156
- {
157
- "epoch": 1.024140012070006,
158
- "grad_norm": 0.183664932847023,
159
- "learning_rate": 0.00023045311809080567,
160
- "loss": 0.1137,
161
- "mean_token_accuracy": 0.9698704530283347,
162
- "num_tokens": 2291904.0,
163
- "step": 425
164
- },
165
- {
166
- "epoch": 1.0844900422450212,
167
- "grad_norm": 0.3327743411064148,
168
- "learning_rate": 0.00022205083708799942,
169
- "loss": 0.076,
170
- "mean_token_accuracy": 0.979997301697731,
171
- "num_tokens": 2427950.0,
172
- "step": 450
173
- },
174
- {
175
- "epoch": 1.1448400724200363,
176
- "grad_norm": 0.24245373904705048,
177
- "learning_rate": 0.0002133435903760353,
178
- "loss": 0.1005,
179
- "mean_token_accuracy": 0.9739851796627045,
180
- "num_tokens": 2563282.0,
181
- "step": 475
182
- },
183
- {
184
- "epoch": 1.2051901025950513,
185
- "grad_norm": 0.2833443880081177,
186
- "learning_rate": 0.0002043682326505094,
187
- "loss": 0.0732,
188
- "mean_token_accuracy": 0.9809131509065628,
189
- "num_tokens": 2697464.0,
190
- "step": 500
191
- },
192
- {
193
- "epoch": 1.2655401327700664,
194
- "grad_norm": 0.19339080154895782,
195
- "learning_rate": 0.000195162753426108,
196
- "loss": 0.0883,
197
- "mean_token_accuracy": 0.9772350364923477,
198
- "num_tokens": 2829623.0,
199
- "step": 525
200
- },
201
- {
202
- "epoch": 1.3258901629450814,
203
- "grad_norm": 0.2599393129348755,
204
- "learning_rate": 0.00018576611624042852,
205
- "loss": 0.0675,
206
- "mean_token_accuracy": 0.9824191880226135,
207
- "num_tokens": 2964393.0,
208
- "step": 550
209
- },
210
- {
211
- "epoch": 1.3862401931200965,
212
- "grad_norm": 0.1892615556716919,
213
- "learning_rate": 0.00017621809373510641,
214
- "loss": 0.0887,
215
- "mean_token_accuracy": 0.9774355208873748,
216
- "num_tokens": 3097550.0,
217
- "step": 575
218
- },
219
- {
220
- "epoch": 1.4465902232951118,
221
- "grad_norm": 0.20027148723602295,
222
- "learning_rate": 0.00016655909931229048,
223
- "loss": 0.0637,
224
- "mean_token_accuracy": 0.9833985614776611,
225
- "num_tokens": 3232011.0,
226
- "step": 600
227
- },
228
- {
229
- "epoch": 1.5069402534701268,
230
- "grad_norm": 0.17108142375946045,
231
- "learning_rate": 0.00015683001607900553,
232
- "loss": 0.0801,
233
- "mean_token_accuracy": 0.9793742316961288,
234
- "num_tokens": 3366982.0,
235
- "step": 625
236
- },
237
- {
238
- "epoch": 1.567290283645142,
239
- "grad_norm": 0.2563358247280121,
240
- "learning_rate": 0.00014707202380342108,
241
- "loss": 0.0604,
242
- "mean_token_accuracy": 0.9842513620853424,
243
- "num_tokens": 3502989.0,
244
- "step": 650
245
- },
246
- {
247
- "epoch": 1.627640313820157,
248
- "grad_norm": 0.14053398370742798,
249
- "learning_rate": 0.00013732642461545747,
250
- "loss": 0.0719,
251
- "mean_token_accuracy": 0.9817398828268051,
252
- "num_tokens": 3636351.0,
253
- "step": 675
254
- },
255
- {
256
- "epoch": 1.687990343995172,
257
- "grad_norm": 0.18102237582206726,
258
- "learning_rate": 0.00012763446818947865,
259
- "loss": 0.058,
260
- "mean_token_accuracy": 0.9849980562925339,
261
- "num_tokens": 3771781.0,
262
- "step": 700
263
- },
264
- {
265
- "epoch": 1.748340374170187,
266
- "grad_norm": 0.20164714753627777,
267
- "learning_rate": 0.00011803717714901029,
268
- "loss": 0.0701,
269
- "mean_token_accuracy": 0.9822172689437866,
270
- "num_tokens": 3906512.0,
271
- "step": 725
272
- },
273
- {
274
- "epoch": 1.8086904043452021,
275
- "grad_norm": 0.18156303465366364,
276
- "learning_rate": 0.00010857517343248423,
277
- "loss": 0.0539,
278
- "mean_token_accuracy": 0.9861550223827362,
279
- "num_tokens": 4041168.0,
280
- "step": 750
281
- }
282
- ],
283
- "logging_steps": 25,
284
- "max_steps": 1245,
285
- "num_input_tokens_seen": 0,
286
- "num_train_epochs": 3,
287
- "save_steps": 750,
288
- "stateful_callbacks": {
289
- "TrainerControl": {
290
- "args": {
291
- "should_epoch_stop": false,
292
- "should_evaluate": false,
293
- "should_log": false,
294
- "should_save": true,
295
- "should_training_stop": false
296
- },
297
- "attributes": {}
298
- }
299
- },
300
- "total_flos": 1.747653289072804e+17,
301
- "train_batch_size": 2,
302
- "trial_name": null,
303
- "trial_params": null
304
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
checkpoint-750/training_args.bin DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:0df9607b8921e186395d7f423843f6ff5d17147d7c407813654072882f10aa0b
3
- size 6033