bart-cnn-samsum-finetuned
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1320
 
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: 1e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - 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 | 
|---|---|---|---|
| 0.0911 | 1.0 | 74 | 0.3074 | 
| 0.0965 | 2.0 | 148 | 0.1320 | 
Framework versions
- Transformers 4.35.2
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
 - Tokenizers 0.15.0
 
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