results
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1082
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.7345 | 1.59 | 100 | 0.4956 |
0.1819 | 3.17 | 200 | 0.1960 |
0.1904 | 4.76 | 300 | 0.1357 |
0.1381 | 6.35 | 400 | 0.1323 |
0.1488 | 7.94 | 500 | 0.1130 |
0.1244 | 9.52 | 600 | 0.1082 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
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