cu-go-bart-large-gc
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3380
- Rouge1: 56.6424
- Rouge2: 31.6294
- Rougel: 38.8938
- Rougelsum: 51.9078
- Gen Len: 119.4535
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 | 1.3532 | 54.8564 | 29.5263 | 36.6465 | 50.2558 | 116.6512 |
| No log | 2.0 | 172 | 1.3118 | 56.6239 | 31.6121 | 39.2945 | 51.7651 | 117.9419 |
| No log | 3.0 | 258 | 1.3380 | 56.6424 | 31.6294 | 38.8938 | 51.9078 | 119.4535 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.14.1
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facebook/bart-large