fine-tuned-bart-10-epochs-1500-input-512-output
This model is a fine-tuned version of bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8625
- Rouge1: 0.165
- Rouge2: 0.0393
- Rougel: 0.1287
- Rougelsum: 0.1279
- Gen Len: 33.11
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: 0.0001
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 151 | 2.4626 | 0.0074 | 0.0 | 0.0072 | 0.0071 | 4.31 |
No log | 2.0 | 302 | 1.0378 | 0.0601 | 0.0109 | 0.0554 | 0.0557 | 7.64 |
No log | 3.0 | 453 | 0.9493 | 0.0832 | 0.0204 | 0.0639 | 0.0638 | 21.16 |
3.1513 | 4.0 | 604 | 0.9068 | 0.1305 | 0.0335 | 0.1007 | 0.1004 | 29.73 |
3.1513 | 5.0 | 755 | 0.8867 | 0.1605 | 0.0399 | 0.1177 | 0.1176 | 61.33 |
3.1513 | 6.0 | 906 | 0.8760 | 0.1603 | 0.0306 | 0.1332 | 0.133 | 31.76 |
0.7578 | 7.0 | 1057 | 0.8677 | 0.1549 | 0.0431 | 0.1168 | 0.1168 | 34.18 |
0.7578 | 8.0 | 1208 | 0.8624 | 0.161 | 0.0403 | 0.1172 | 0.1168 | 37.92 |
0.7578 | 9.0 | 1359 | 0.8639 | 0.1542 | 0.0374 | 0.1219 | 0.1213 | 31.73 |
0.5902 | 10.0 | 1510 | 0.8625 | 0.165 | 0.0393 | 0.1287 | 0.1279 | 33.11 |
Framework versions
- Transformers 4.36.2
- Pytorch 1.12.1+cu113
- Datasets 2.16.1
- Tokenizers 0.15.0
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