outputs
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: 0.7371
- Rouge1: 8.8243
- Rouge2: 1.3093
- Rougel: 8.7971
- Rougelsum: 8.838
- Gen Len: 18.6465
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.8929 | 1.0 | 10995 | 0.8547 | 8.6675 | 1.2002 | 8.6197 | 8.6811 | 18.5008 |
| 0.8248 | 2.0 | 21990 | 0.7847 | 8.8312 | 1.3639 | 8.8073 | 8.8448 | 18.4607 |
| 0.7483 | 3.0 | 32985 | 0.7488 | 8.913 | 1.3639 | 8.8925 | 8.9096 | 18.9223 |
| 0.6492 | 4.0 | 43980 | 0.7371 | 8.8243 | 1.3093 | 8.7971 | 8.838 | 18.6465 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Base model
google/mt5-small