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pegasus-newsroom_wires_hdwriter42k
This model is a fine-tuned version of google/pegasus-newsroom on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5521
- Rouge1: 37.5311
- Rouge2: 17.6638
- Rougel: 31.2287
- Rougelsum: 31.7152
- Gen Len: 35.1639
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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.662 | 1.0 | 16875 | 1.5702 | 36.8068 | 17.3179 | 30.6952 | 31.1331 | 36.4668 |
| 1.5071 | 2.0 | 33750 | 1.5503 | 37.5627 | 17.6519 | 31.2538 | 31.7985 | 35.3514 |
| 1.4512 | 3.0 | 50625 | 1.5521 | 37.5311 | 17.6638 | 31.2287 | 31.7152 | 35.1639 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
