| .. | ||
| all_results.json | ||
| config.json | ||
| eval_results.json | ||
| merges.txt | ||
| predict_results_None.txt | ||
| pytorch_model.bin | ||
| README.md | ||
| special_tokens_map.json | ||
| tokenizer_config.json | ||
| tokenizer.json | ||
| train_results.json | ||
| trainer_state.json | ||
| training_args.bin | ||
| vocab.json | ||
| license | tags | metrics | model-index | |||||||
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| mit |
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roberta
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2195
- Accuracy: 0.9360
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2