t5-small-finetune-0411
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1705
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0631 | 1.0 | 10976 | 0.1504 |
| 0.0631 | 2.0 | 21952 | 0.1705 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1
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Model tree for badokorach/t5-small-finetune-0411
Base model
google-t5/t5-small
Finetuned
this model