ro-sequence
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 815.9874
- Precision: 0.7802
- Recall: 0.8225
- F1: 0.8008
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: 4e-05
- train_batch_size: 32
- eval_batch_size: 64
- seed: 352269
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 798.342 | 1.0 | 125 | 619.5866 | 0.7472 | 0.7369 | 0.7420 |
| 377.8265 | 2.0 | 250 | 521.1552 | 0.7833 | 0.7998 | 0.7915 |
| 288.2568 | 3.0 | 375 | 559.4092 | 0.7469 | 0.8145 | 0.7792 |
| 192.2052 | 4.0 | 500 | 555.9223 | 0.8252 | 0.7889 | 0.8066 |
| 128.4364 | 5.0 | 625 | 719.3274 | 0.7848 | 0.8042 | 0.7944 |
| 86.742 | 6.0 | 750 | 797.8254 | 0.7391 | 0.8281 | 0.7811 |
| 62.8087 | 7.0 | 875 | 815.9874 | 0.7802 | 0.8225 | 0.8008 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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