baseline_model
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0040
- Meteor: 0.0552
- Rouge-l: 0.0784
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: 5e-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
- lr_scheduler_warmup_steps: 300
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Rouge-l |
|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 1810 | nan | 0.0040 | 0.0552 | 0.0784 |
| 0.0 | 2.0 | 3620 | nan | 0.0040 | 0.0552 | 0.0784 |
| 0.0 | 3.0 | 5430 | nan | 0.0040 | 0.0552 | 0.0784 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1