sarcasm_BART
This model is a fine-tuned version of sshleifer/distilbart-xsum-12-3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9873
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0755 | 1.0 | 1464 | 0.9873 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for m-biriuchinskii/sarcasm_BART
Base model
sshleifer/distilbart-xsum-12-3