End of training

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: mistral-json-finetune
+  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-json-finetune
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3730
+
+## 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2986        | 0.57  | 50   | 0.6897          |
+| 0.4469        | 1.14  | 100  | 0.4239          |
+| 0.2978        | 1.71  | 150  | 0.3497          |
+| 0.2279        | 2.29  | 200  | 0.3126          |
+| 0.1869        | 2.86  | 250  | 0.2858          |
+| 0.137         | 3.43  | 300  | 0.2848          |
+| 0.1221        | 4.0   | 350  | 0.2713          |
+| 0.0918        | 4.57  | 400  | 0.2750          |
+| 0.0832        | 5.14  | 450  | 0.2781          |
+| 0.0681        | 5.71  | 500  | 0.2807          |
+| 0.055         | 6.29  | 550  | 0.2902          |
+| 0.0515        | 6.86  | 600  | 0.2746          |
+| 0.0463        | 7.43  | 650  | 0.3078          |
+| 0.0421        | 8.0   | 700  | 0.2971          |
+| 0.0354        | 8.57  | 750  | 0.3196          |
+| 0.0276        | 9.14  | 800  | 0.3490          |
+| 0.0281        | 9.71  | 850  | 0.3411          |
+| 0.026         | 10.29 | 900  | 0.3658          |
+| 0.0241        | 10.86 | 950  | 0.3661          |
+| 0.0209        | 11.43 | 1000 | 0.3730          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1+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-v0.1",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "o_proj",
+    "q_proj",
+    "lm_head",
+    "gate_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+size 85100592

training_args.bin

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