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--- |
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library_name: peft |
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license: llama3.1 |
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base_model: meta-llama/Llama-3.1-8B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama_sequence_classification |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llama_sequence_classification |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2783 |
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- Pearson: 0.9687 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Pearson | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| No log | 1.0 | 206 | 0.2751 | 0.9458 | |
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| No log | 2.0 | 412 | 0.1997 | 0.9697 | |
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| 0.3269 | 3.0 | 618 | 0.2197 | 0.9539 | |
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| 0.3269 | 4.0 | 824 | 0.2830 | 0.9597 | |
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| 0.0393 | 5.0 | 1030 | 0.2783 | 0.9687 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
