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-v0.1
+model-index:
+- name: cot_method2test-mistral-7B_v1
+  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. -->
+
+# cot_method2test-mistral-7B_v1
+
+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: 0.7463
+
+## 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: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0057        | 0.48  | 5    | 1.2410          |
+| 0.9781        | 0.95  | 10   | 1.1410          |
+| 0.8181        | 1.43  | 15   | 1.0440          |
+| 0.7273        | 1.9   | 20   | 0.9502          |
+| 0.6721        | 2.38  | 25   | 0.8735          |
+| 0.5397        | 2.86  | 30   | 0.8148          |
+| 0.4642        | 3.33  | 35   | 0.7771          |
+| 0.4328        | 3.81  | 40   | 0.7565          |
+| 0.3788        | 4.29  | 45   | 0.7490          |
+| 0.4171        | 4.76  | 50   | 0.7463          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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