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--- |
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license: llama3 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B |
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metrics: |
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- accuracy |
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model-index: |
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- name: news_classification |
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results: [] |
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datasets: |
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- sklearn.datasets.fetch_20newsgroups |
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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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# news_classification |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the 20 News Group dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4061 |
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- Balanced Accuracy: 0.5117 |
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- Accuracy: 0.53 |
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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: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:| |
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| 2.4925 | 1.0 | 25 | 1.7238 | 0.4608 | 0.475 | |
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| 1.2815 | 2.0 | 50 | 1.4959 | 0.5185 | 0.535 | |
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| 0.7958 | 3.0 | 75 | 1.4061 | 0.5117 | 0.53 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
