BM_MLM_EXT_230221080718
This model is a fine-tuned version of distilroberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 2e-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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 108 | 0.0059 |
| No log | 2.0 | 216 | 0.0010 |
| No log | 3.0 | 324 | 0.0009 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.8.0+cu111
- Datasets 1.11.0
- Tokenizers 0.12.1
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