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: 0.3342
- Bleu: 0.7824
- Meteor: 0.9157
- Rouge-l: 0.9240
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor | Rouge-l |
|---|---|---|---|---|---|---|
| 0.7338 | 1.0 | 1207 | 0.4367 | 0.7245 | 0.8932 | 0.9072 |
| 0.5866 | 2.0 | 2414 | 0.3841 | 0.7541 | 0.9031 | 0.9172 |
| 0.4345 | 3.0 | 3621 | 0.3569 | 0.7717 | 0.9111 | 0.9205 |
| 0.5316 | 4.0 | 4828 | 0.3367 | 0.7797 | 0.9148 | 0.9236 |
| 0.3912 | 5.0 | 6035 | 0.3342 | 0.7824 | 0.9157 | 0.9240 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
google/mt5-base