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google-mt5-small-ibn-Shaddad-v1
This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0015
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: 5.6e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.8795 | 1.0 | 1067 | 0.0011 |
| 0.0505 | 2.0 | 2134 | 0.0015 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
