predictix_ticket_summary_distilbart
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0224
- Rouge1: 0.7582
- Rouge2: 0.7444
- Rougel: 0.7546
- Rougelsum: 0.7553
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: 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.0313 | 1.7699 | 200 | 0.0224 | 0.7582 | 0.7444 | 0.7546 | 0.7553 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.10.0+cpu
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
sshleifer/distilbart-cnn-12-6