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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-qasports-basket-small |
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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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# distilbert-qasports-basket-small |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4353 |
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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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| No log | 1.0 | 162 | 1.5757 | |
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| No log | 2.0 | 324 | 1.2079 | |
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| No log | 3.0 | 486 | 1.1946 | |
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| 1.6938 | 4.0 | 648 | 1.2071 | |
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| 1.6938 | 5.0 | 810 | 1.2500 | |
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| 1.6938 | 6.0 | 972 | 1.3132 | |
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| 0.4045 | 7.0 | 1134 | 1.3599 | |
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| 0.4045 | 8.0 | 1296 | 1.3778 | |
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| 0.4045 | 9.0 | 1458 | 1.4255 | |
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| 0.1872 | 10.0 | 1620 | 1.4353 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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