t5-base-exp1
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0701
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: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3485 | 0.9995 | 143 | 0.2820 |
| 0.2208 | 1.9989 | 286 | 0.1841 |
| 0.1529 | 2.9984 | 429 | 0.1166 |
| 0.1214 | 3.9978 | 572 | 0.0889 |
| 0.1018 | 4.9973 | 715 | 0.0805 |
| 0.1025 | 5.9967 | 858 | 0.0761 |
| 0.102 | 6.9962 | 1001 | 0.0733 |
| 0.0929 | 7.9956 | 1144 | 0.0701 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for Tung177/t5-base-exp1
Base model
google/mt5-small