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--- |
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license: apache-2.0 |
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base_model: moussaKam/barthez-orangesum-abstract |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sarcasm_BARThez_v3 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# sarcasm_BARThez_v3 |
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This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5479 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2.5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4699 | 1.0 | 732 | 0.5757 | |
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| 0.6393 | 2.0 | 1464 | 0.5460 | |
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| 0.455 | 3.0 | 2196 | 0.5150 | |
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| 0.3906 | 4.0 | 2928 | 0.5079 | |
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| 0.3015 | 5.0 | 3660 | 0.5104 | |
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| 0.27 | 6.0 | 4392 | 0.5223 | |
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| 0.2124 | 7.0 | 5124 | 0.5343 | |
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| 0.2049 | 8.0 | 5856 | 0.5390 | |
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| 0.1656 | 9.0 | 6588 | 0.5433 | |
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| 0.1688 | 10.0 | 7320 | 0.5479 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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