End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: Mistral-7B-Instruct-v0.2-binary_base02
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Mistral-7B-Instruct-v0.2-binary_base02
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2468
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2.5e-05
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3861        | 0.32  | 50   | 0.5395          |
+| 0.4528        | 0.63  | 100  | 0.3798          |
+| 0.3429        | 0.95  | 150  | 0.3177          |
+| 0.2952        | 1.27  | 200  | 0.3050          |
+| 0.2816        | 1.59  | 250  | 0.2726          |
+| 0.2661        | 1.9   | 300  | 0.2615          |
+| 0.2498        | 2.22  | 350  | 0.2545          |
+| 0.2439        | 2.54  | 400  | 0.2565          |
+| 0.2471        | 2.86  | 450  | 0.2504          |
+| 0.2417        | 3.17  | 500  | 0.2522          |
+| 0.2372        | 3.49  | 550  | 0.2481          |
+| 0.2312        | 3.81  | 600  | 0.2429          |
+| 0.2266        | 4.13  | 650  | 0.2481          |
+| 0.2179        | 4.44  | 700  | 0.2459          |
+| 0.2221        | 4.76  | 750  | 0.2409          |
+| 0.2165        | 5.08  | 800  | 0.2470          |
+| 0.2064        | 5.4   | 850  | 0.2464          |
+| 0.2062        | 5.71  | 900  | 0.2448          |
+| 0.2087        | 6.03  | 950  | 0.2449          |
+| 0.1975        | 6.35  | 1000 | 0.2468          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "lm_head",
+    "gate_proj",
+    "v_proj",
+    "up_proj",
+    "o_proj",
+    "k_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 609389712

training_args.bin

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