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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: BERiTmodel2 |
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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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# BERiTmodel2 |
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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: 3.1508 |
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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: cosine |
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- lr_scheduler_warmup_steps: 280 |
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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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| 3.1924 | 1.0 | 2854 | 3.4329 | |
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| 3.0936 | 2.0 | 5708 | 3.5036 | |
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| 2.9998 | 3.0 | 8562 | 3.1906 | |
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| 2.9064 | 4.0 | 11416 | 3.4867 | |
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| 2.8493 | 5.0 | 14270 | 3.2027 | |
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| 2.7538 | 6.0 | 17124 | 2.9772 | |
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| 2.7273 | 7.0 | 19978 | 2.9950 | |
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| 2.7399 | 8.0 | 22832 | 2.9690 | |
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| 2.67 | 9.0 | 25686 | 3.0311 | |
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| 2.6388 | 10.0 | 28540 | 3.1508 | |
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### Framework versions |
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- Transformers 4.14.1 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 1.17.0 |
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- Tokenizers 0.10.3 |
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