metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus_tweet_sum
results: []
pegasus_tweet_sum
This model is a fine-tuned version of transformersbook/pegasus-samsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3260
- Rouge1: 27.0091
- Rouge2: 9.1616
- Rougel: 19.9548
- Rougelsum: 23.608
- Gen Len: 50.6667
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: 0.0002
- 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 44 | 2.2587 | 26.8137 | 8.4052 | 18.7378 | 22.5031 | 48.25 |
| No log | 2.0 | 88 | 2.3260 | 27.0091 | 9.1616 | 19.9548 | 23.608 | 50.6667 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Tokenizers 0.13.3