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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: roberta-base-academic |
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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-base-academic |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0248 |
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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: 1e-06 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 3 |
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- total_train_batch_size: 96 |
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- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 250 |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.1562 | 0.75 | 330 | 2.0722 | |
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| 2.12 | 1.5 | 660 | 2.0430 | |
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| 2.1085 | 2.25 | 990 | 2.0428 | |
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| 2.0979 | 3.0 | 1320 | 2.0305 | |
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| 2.0859 | 3.75 | 1650 | 1.9995 | |
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| 2.0889 | 4.5 | 1980 | 2.0074 | |
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### Framework versions |
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- Transformers 4.19.0.dev0 |
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- Pytorch 1.13.0+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.12.1 |
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