mt5-small-finetuned-xlsum-ru-en-new-2
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: 2.0145
- Rouge1: 20.4759
- Rouge2: 6.8803
- Rougel: 16.8811
- Rougelsum: 16.915
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: 0.0004
- 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.8481 | 1.0 | 46096 | 2.2700 | 18.2746 | 5.3316 | 14.9101 | 14.9397 |
| 2.4194 | 2.0 | 92192 | 2.1316 | 19.6083 | 6.2946 | 16.1841 | 16.2019 |
| 2.2221 | 3.0 | 138288 | 2.0509 | 20.0895 | 6.5514 | 16.5405 | 16.5662 |
| 2.143 | 4.0 | 184384 | 2.0145 | 20.4759 | 6.8803 | 16.8811 | 16.915 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/mt5-small