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mt5-base-finetuned-summarization-V2
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.3409
- Rouge1: 6.1259
- Rouge2: 1.4637
- Rougel: 5.3192
- Rougelsum: 5.7739
- Gen Len: 9.9286
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: 2e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 15 | 10.0266 | 6.7528 | 2.8064 | 5.9938 | 6.4352 | 10.0 |
| No log | 2.0 | 30 | 8.4159 | 6.1259 | 1.4637 | 5.3192 | 5.7739 | 10.0714 |
| No log | 3.0 | 45 | 8.3409 | 6.1259 | 1.4637 | 5.3192 | 5.7739 | 9.9286 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
