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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- eli5_category |
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model-index: |
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- name: my_awesome_eli5_clm-model-no-mlp-attn-15 |
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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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# my_awesome_eli5_clm-model-no-mlp-attn-15 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the eli5_category dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.1544 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 4.3748 | 1.0 | 3582 | 4.2940 | |
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| 4.3221 | 2.0 | 7164 | 4.2542 | |
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| 4.2832 | 3.0 | 10746 | 4.2297 | |
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| 4.2567 | 4.0 | 14328 | 4.2082 | |
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| 4.2315 | 5.0 | 17910 | 4.1891 | |
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| 4.2127 | 6.0 | 21492 | 4.1764 | |
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| 4.195 | 7.0 | 25074 | 4.1666 | |
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| 4.1885 | 8.0 | 28656 | 4.1596 | |
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| 4.1839 | 9.0 | 32238 | 4.1548 | |
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| 4.1807 | 10.0 | 35820 | 4.1544 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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