my_mt5_small_test-finetuned-textdetox
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: 1.1729
- Rouge1: 48.4128
- Rouge2: 39.9256
- Rougel: 48.1823
- Rougelsum: 48.1665
- Gen Len: 15.1129
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: 0.0001
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4234 | 1.0 | 3480 | 1.3619 | 47.6986 | 39.113 | 47.5064 | 47.4812 | 15.454 |
| 1.3091 | 2.0 | 6960 | 1.2434 | 48.0682 | 39.5031 | 47.8767 | 47.8577 | 15.2398 |
| 1.3695 | 3.0 | 10440 | 1.2162 | 48.1983 | 39.6887 | 47.9807 | 47.9556 | 15.2225 |
| 1.123 | 4.0 | 13920 | 1.1739 | 48.309 | 39.7956 | 48.0868 | 48.0644 | 15.1866 |
| 1.4587 | 5.0 | 17400 | 1.1729 | 48.4128 | 39.9256 | 48.1823 | 48.1665 | 15.1129 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google/mt5-small