metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: cnn_news_summary_model
results: []
cnn_news_summary_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0183
- Rouge1: 0.2163
- Rouge2: 0.083
- Rougel: 0.1761
- Rougelsum: 0.1761
- Gen Len: 18.9443
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: 16
- eval_batch_size: 16
- 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 | Gen Len |
---|---|---|---|---|---|---|---|---|
2.2274 | 1.0 | 1500 | 2.0314 | 0.2154 | 0.0823 | 0.1747 | 0.1747 | 18.9512 |
2.2057 | 2.0 | 3000 | 2.0183 | 0.2163 | 0.083 | 0.1761 | 0.1761 | 18.9443 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3