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--- |
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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_nbx_all_l |
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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_nbx_all_l |
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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: 0.4231 |
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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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| 0.4142 | 1.0 | 1949 | 0.3892 | |
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| 0.0962 | 2.0 | 3898 | 0.3523 | |
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| 0.2092 | 3.0 | 5847 | 0.3674 | |
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| 0.2436 | 4.0 | 7796 | 0.3654 | |
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| 0.0776 | 5.0 | 9745 | 0.3609 | |
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| 0.1534 | 6.0 | 11694 | 0.3578 | |
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| 0.0653 | 7.0 | 13643 | 0.4346 | |
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| 0.0016 | 8.0 | 15592 | 0.3912 | |
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| 0.0267 | 9.0 | 17541 | 0.4162 | |
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| 0.0551 | 10.0 | 19490 | 0.4231 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.19.2 |
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- Tokenizers 0.15.0 |
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