pegasus-newsroom-cnn_full-adafactor-bs6
This model is a fine-tuned version of oMateos2020/pegasus-newsroom-cnn_full-adafactor-bs6 on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 2.8671
- Rouge1: 44.1026
- Rouge2: 21.4261
- Rougel: 31.2033
- Rougelsum: 41.0324
- Gen Len: 72.0839
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: 6.4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.9343 | 0.5 | 560 | 2.8733 | 44.1226 | 21.4087 | 31.2431 | 41.0683 | 69.367 |
| 2.9855 | 1.0 | 1120 | 2.8671 | 44.1026 | 21.4261 | 31.2033 | 41.0324 | 72.0839 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Downloads last month
- 10
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.