license: apache-2.0 | |
base_model: moussaKam/barthez-orangesum-abstract | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: sarcasm_BARThez_v2 | |
results: [] | |
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# sarcasm_BARThez_v2 | |
This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.5708 | |
## 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: 2.5e-05 | |
- train_batch_size: 2 | |
- eval_batch_size: 2 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 1.5084 | 1.0 | 732 | 0.6098 | | |
| 0.6148 | 2.0 | 1464 | 0.5692 | | |
| 0.476 | 3.0 | 2196 | 0.5708 | | |
### Framework versions | |
- Transformers 4.38.1 | |
- Pytorch 2.1.0+cu121 | |
- Datasets 2.17.1 | |
- Tokenizers 0.15.2 | |