Model save

README.md

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+---
+library_name: peft
+tags:
+- llama-factory
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.3
+model-index:
+- name: Mistral_AAID_new_mixed_train_final_2
+  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_AAID_new_mixed_train_final_2
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5668
+
+## 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9535        | 0.0438 | 40   | 0.5372          |
+| 0.3461        | 0.0875 | 80   | 0.5533          |
+| 0.3181        | 0.1313 | 120  | 0.5347          |
+| 0.3057        | 0.1750 | 160  | 0.5565          |
+| 0.297         | 0.2188 | 200  | 0.5359          |
+| 0.277         | 0.2625 | 240  | 0.5426          |
+| 0.2707        | 0.3063 | 280  | 0.5676          |
+| 0.2563        | 0.3500 | 320  | 0.5668          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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