training completed

README.md

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+---
+base_model: meta-llama/Meta-Llama-3-8B
+library_name: peft
+license: llama3
+metrics:
+- accuracy
+tags:
+- generated_from_trainer
+model-index:
+- name: llama3-pycodestyle-480
+  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. -->
+
+# llama3-pycodestyle-480
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2454
+- Accuracy: 0.9667
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- 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 | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0094        | 1.0   | 60   | 1.1250          | 0.875    |
+| 0.3028        | 2.0   | 120  | 0.4615          | 0.95     |
+| 0.459         | 3.0   | 180  | 0.1061          | 0.975    |
+| 0.1836        | 4.0   | 240  | 0.4896          | 0.9667   |
+| 0.0453        | 5.0   | 300  | 0.2454          | 0.9667   |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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