End of training

README.md

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+---
+license: afl-3.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: Viet-Mistral/Vistral-7B-Chat
+model-index:
+- name: vistral-7B_finetuned_A100_April24th
+  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. -->
+
+# vistral-7B_finetuned_A100_April24th
+
+This model is a fine-tuned version of [Viet-Mistral/Vistral-7B-Chat](https://huggingface.co/Viet-Mistral/Vistral-7B-Chat) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1997
+
+## 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: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 0.7221        | 1.0   | 79685  | 0.5586          |
+| 0.467         | 2.0   | 159370 | 0.3150          |
+| 0.3586        | 3.0   | 239055 | 0.2440          |
+| 0.2954        | 4.0   | 318740 | 0.2116          |
+| 0.2556        | 5.0   | 398425 | 0.1997          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.39.3
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2