End of training

README.md

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 ---
-license: mit
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+model-index:
+- name: Mistral-7B-Instruct-v0.2-GPTQ_retrained
+  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-GPTQ_retrained
+
+This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0791
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6921        | 0.92  | 3    | 1.5225          |
+| 1.629         | 1.85  | 6    | 1.4415          |
+| 1.5316        | 2.77  | 9    | 1.3478          |
+| 1.0839        | 4.0   | 13   | 1.2525          |
+| 1.3848        | 4.92  | 16   | 1.2006          |
+| 1.3332        | 5.85  | 19   | 1.1594          |
+| 1.2817        | 6.77  | 22   | 1.1265          |
+| 0.9486        | 8.0   | 26   | 1.0928          |
+| 1.2404        | 8.92  | 29   | 1.0804          |
+| 0.8768        | 9.23  | 30   | 1.0791          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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