Mymt5-small-test
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 16.9555
- Rouge1: 5.3063
- Rouge2: 0.3834
- Rougel: 4.7129
- Rougelsum: 4.769
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 32.0529 | 1.0 | 10 | 22.9068 | 4.148 | 0.2063 | 4.0534 | 4.0281 |
| 26.8483 | 2.0 | 20 | 20.5579 | 4.2091 | 0.2815 | 4.2287 | 4.2414 |
| 26.3936 | 3.0 | 30 | 19.4139 | 4.199 | 0.2051 | 4.1823 | 4.1637 |
| 24.8239 | 4.0 | 40 | 18.3165 | 4.2308 | 0.2812 | 4.2404 | 4.2749 |
| 24.0505 | 5.0 | 50 | 17.3909 | 4.9556 | 0.486 | 4.6229 | 4.6138 |
| 23.8294 | 6.0 | 60 | 17.0988 | 5.4206 | 0.5003 | 4.7981 | 4.7944 |
| 22.7513 | 7.0 | 70 | 16.9862 | 5.3119 | 0.3966 | 4.814 | 4.7785 |
| 22.836 | 8.0 | 80 | 16.9555 | 5.393 | 0.3829 | 4.7334 | 4.8031 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for thabat/Mymt5-small-test
Base model
google/mt5-small