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bart-cnn-science-v3-e2-v4-e4-manual
This model is a fine-tuned version of theojolliffe/bart-cnn-science-v3-e2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1223
- Rouge1: 50.8519
- Rouge2: 30.3314
- Rougel: 31.5149
- Rougelsum: 48.4389
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 42 | 0.9420 | 53.5234 | 33.6131 | 35.8383 | 51.1499 | 142.0 |
| No log | 2.0 | 84 | 0.9439 | 52.388 | 32.1451 | 35.2339 | 49.6554 | 142.0 |
| No log | 3.0 | 126 | 1.0321 | 56.2765 | 37.671 | 39.2693 | 53.5596 | 142.0 |
| No log | 4.0 | 168 | 1.1223 | 50.8519 | 30.3314 | 31.5149 | 48.4389 | 142.0 |
Framework versions
- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
