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mt5-small-ibn-Shaddad-v4
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: 2.9233
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|
| 5.0001 | 1.0 | 935 | 3.1102 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3.4066 | 2.0 | 1870 | 2.9836 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3.2832 | 3.0 | 2805 | 2.9384 | 0.0 | 0.0 | 0.0 | 0.0 |
| 3.2334 | 4.0 | 3740 | 2.9233 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
