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sarcasm_BART_v2
m-biriuchinskii/sarcasm_BART_v2
sarcasm_BART_v2 is a machine learning model from m-biriuchinskii. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024
- SHA
- c80e6ec6
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
sarcasm_BART_v2
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: 0.8877
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 488 | 0.9496 |
| 1.559 | 2.0 | 976 | 0.9030 |
| 0.8131 | 3.0 | 1464 | 0.8735 |
| 0.6286 | 4.0 | 1952 | 0.8715 |
| 0.5382 | 5.0 | 2440 | 0.8877 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Mar 4, 2024
- Updated
- Mar 4, 2024