End of training

README.md

@@ -0,0 +1,71 @@
+---
+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_v0
+  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_v0
+
+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: 1.4347
+
+## 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: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9657        | 0.8   | 3    | 1.5706          |
+| 1.9718        | 1.6   | 6    | 1.5519          |
+| 1.8758        | 2.4   | 9    | 1.5252          |
+| 1.7493        | 3.2   | 12   | 1.5017          |
+| 1.6845        | 4.0   | 15   | 1.4812          |
+| 1.667         | 4.8   | 18   | 1.4652          |
+| 1.5356        | 5.6   | 21   | 1.4526          |
+| 1.4322        | 6.4   | 24   | 1.4443          |
+| 1.5797        | 7.2   | 27   | 1.4385          |
+| 1.4526        | 8.0   | 30   | 1.4347          |
+
+
+### 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