t5-small-sci-ms-fl
This model is a fine-tuned version of aparajitha/t5-small-sci on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1136
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.7268 | 1.0 | 547 | 3.3195 |
| 3.5372 | 2.0 | 1094 | 3.2204 |
| 3.4567 | 3.0 | 1641 | 3.1673 |
| 3.3928 | 4.0 | 2188 | 3.1344 |
| 3.3792 | 5.0 | 2735 | 3.1188 |
| 3.3477 | 6.0 | 3282 | 3.1136 |
Framework versions
- Transformers 4.43.4
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.19.1
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