uw-madison-yoso-4096
This model is a fine-tuned version of uw-madison/yoso-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1966
- F1 Score: 0.9584
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|---|---|---|---|---|
| 0.2316 | 1.0 | 3492 | 0.2029 | 0.9480 |
| 0.1312 | 2.0 | 6984 | 0.2308 | 0.9497 |
| 0.1126 | 3.0 | 10476 | 0.2019 | 0.9545 |
| 0.1254 | 4.0 | 13968 | 0.1966 | 0.9584 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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uw-madison/yoso-4096