pegasus-xsum-finetuned-samsum-v2
This model is a fine-tuned version of google/pegasus-xsum on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.5349
- Rouge1: 48.6788
- Rouge2: 24.4294
- Rougel: 40.7392
- Rougelsum: 44.5412
- Gen Len: 17.4976
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.7107 | 1.0 | 1841 | 1.5349 | 48.6788 | 24.4294 | 40.7392 | 44.5412 | 17.4976 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Downloads last month
- 2
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.