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--- |
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license: mit |
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base_model: roberta-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta_nba_v2 |
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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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# roberta_nba_v2 |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8231 |
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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: 5e-05 |
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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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- lr_scheduler_warmup_steps: 500 |
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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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| 0.4838 | 1.0 | 193 | 0.5098 | |
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| 0.4339 | 2.0 | 386 | 0.5224 | |
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| 0.3639 | 3.0 | 579 | 0.5431 | |
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| 0.4189 | 4.0 | 772 | 0.4780 | |
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| 0.3729 | 5.0 | 965 | 0.6443 | |
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| 0.1509 | 6.0 | 1158 | 0.6412 | |
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| 0.0923 | 7.0 | 1351 | 0.7526 | |
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| 0.0256 | 8.0 | 1544 | 0.7852 | |
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| 0.1447 | 9.0 | 1737 | 0.8347 | |
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| 0.0011 | 10.0 | 1930 | 0.8231 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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