model
This model is a fine-tuned version of Twitter/twhin-bert-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8996
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: 1e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 300 | 2.1878 |
| 2.4077 | 2.0 | 600 | 2.0959 |
| 2.4077 | 3.0 | 900 | 2.1126 |
| 2.2053 | 4.0 | 1200 | 2.0066 |
| 2.0736 | 5.0 | 1500 | 1.9590 |
| 2.0736 | 6.0 | 1800 | 1.9668 |
| 2.0221 | 7.0 | 2100 | 1.9509 |
| 2.0221 | 8.0 | 2400 | 1.9274 |
| 1.9679 | 9.0 | 2700 | 1.8871 |
| 1.9687 | 10.0 | 3000 | 1.8996 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.13.3
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Base model
Twitter/twhin-bert-large