Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+model-index:
+- name: mistral-QLORA-FT
+  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-QLORA-FT
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2209
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4143        | 0.1   | 135  | 1.2817          |
+| 1.2203        | 0.2   | 270  | 1.2299          |
+| 1.2193        | 0.3   | 405  | 1.2281          |
+| 1.2127        | 0.4   | 540  | 1.2252          |
+| 1.1912        | 0.5   | 675  | 1.2238          |
+| 1.1855        | 0.6   | 810  | 1.2236          |
+| 1.1998        | 0.7   | 945  | 1.2216          |
+| 1.1959        | 0.8   | 1080 | 1.2219          |
+| 1.1884        | 0.9   | 1215 | 1.2210          |
+| 1.1988        | 1.0   | 1350 | 1.2209          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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