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mt5-small-finetuned-arxiv-cs
This model is a fine-tuned version of google/mt5-small on a subset of the arxiv dataset. It achieves the following results on the evaluation set:
- Loss: 1.6922
- Rouge1: 0.7734
- Rouge2: 0.2865
- Rougel: 0.6665
- Rougelsum: 0.6743
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 14.0947 | 1.0 | 500 | 2.7666 | 1.2101 | 0.459 | 1.1426 | 1.1385 |
| 2.8524 | 2.0 | 1000 | 1.8208 | 0.0 | 0.0 | 0.0 | 0.0 |
| 2.2623 | 3.0 | 1500 | 1.6922 | 0.7734 | 0.2865 | 0.6665 | 0.6743 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
