mt5-small-news
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: 3.5993
- Rouge1: 0.6403
- Rouge2: 0.0
- Rougel: 0.5176
- Rougelsum: 0.5002
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 |
|---|---|---|---|---|---|---|---|
| 4.3726 | 1.0 | 179 | 3.6312 | 0.4669 | 0.1401 | 0.5602 | 0.5602 |
| 4.1516 | 2.0 | 358 | 3.6174 | 0.6225 | 0.0 | 0.4869 | 0.5002 |
| 4.0 | 3.0 | 537 | 3.6233 | 0.6225 | 0.0 | 0.4869 | 0.5002 |
| 3.874 | 4.0 | 716 | 3.6360 | 0.6403 | 0.0 | 0.5176 | 0.5002 |
| 3.8063 | 5.0 | 895 | 3.6360 | 0.6225 | 0.0 | 0.4869 | 0.5002 |
| 4.0795 | 6.0 | 1074 | 3.6032 | 0.6225 | 0.0 | 0.5135 | 0.5135 |
| 4.0419 | 7.0 | 1253 | 3.6022 | 0.6403 | 0.0 | 0.5176 | 0.5002 |
| 4.0311 | 8.0 | 1432 | 3.5993 | 0.6403 | 0.0 | 0.5176 | 0.5002 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
google/mt5-small