cu-go-bart-base-gc
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5455
- Rouge1: 53.0097
- Rouge2: 29.8987
- Rougel: 37.7495
- Rougelsum: 49.1744
- Gen Len: 106.6047
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 86 | 1.6037 | 51.0086 | 27.7443 | 35.7708 | 47.0373 | 108.2442 |
| No log | 2.0 | 172 | 1.5580 | 53.4388 | 29.9039 | 37.6105 | 49.6511 | 109.1163 |
| No log | 3.0 | 258 | 1.5455 | 53.0097 | 29.8987 | 37.7495 | 49.1744 | 106.6047 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1
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Base model
facebook/bart-base