End of training

README.md

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+---
+library_name: peft
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuned_llama3.1_modelv1
+  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. -->
+
+# finetuned_llama3.1_modelv1
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5369
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 140  | 0.7694          |
+| No log        | 2.0   | 280  | 0.7267          |
+| No log        | 3.0   | 420  | 0.6674          |
+| 0.8529        | 4.0   | 560  | 0.5697          |
+| 0.8529        | 5.0   | 700  | 0.5502          |
+| 0.8529        | 6.0   | 840  | 0.5446          |
+| 0.8529        | 7.0   | 980  | 0.5411          |
+| 0.5332        | 8.0   | 1120 | 0.5392          |
+| 0.5332        | 9.0   | 1260 | 0.5357          |
+| 0.5332        | 10.0  | 1400 | 0.5369          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.0.2
+- Tokenizers 0.20.1