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bart-cnn-science-v3-e5-v4-e6-manual
This model is a fine-tuned version of theojolliffe/bart-cnn-science-v3-e5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8609
- Rouge1: 54.0982
- Rouge2: 36.1022
- Rougel: 36.9584
- Rougelsum: 52.5383
- Gen Len: 142.0
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 42 | 0.7022 | 56.9307 | 38.2717 | 39.9091 | 53.9037 | 142.0 |
| No log | 2.0 | 84 | 0.6840 | 50.7036 | 29.9002 | 33.0298 | 47.8775 | 142.0 |
| No log | 3.0 | 126 | 0.7179 | 52.8561 | 32.2202 | 35.7914 | 51.0248 | 142.0 |
| No log | 4.0 | 168 | 0.8149 | 54.8457 | 36.4705 | 35.931 | 52.4241 | 142.0 |
| No log | 5.0 | 210 | 0.8330 | 55.6746 | 37.8316 | 36.9614 | 54.3022 | 142.0 |
| No log | 6.0 | 252 | 0.8609 | 54.0982 | 36.1022 | 36.9584 | 52.5383 | 142.0 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
