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--- |
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license: apache-2.0 |
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tags: |
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- mlm |
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- generated_from_trainer |
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model-index: |
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- name: article2keyword2.2_barthez-orangesum-title_finetuned_for_mlm |
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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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# article2keyword2.2_barthez-orangesum-title_finetuned_for_mlm |
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This model is a fine-tuned version of [moussaKam/barthez-orangesum-title](https://huggingface.co/moussaKam/barthez-orangesum-title) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0452 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3187 | 1.0 | 1235 | 0.0545 | |
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| 0.0544 | 2.0 | 2470 | 0.0491 | |
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| 0.0461 | 3.0 | 3705 | 0.0463 | |
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| 0.042 | 4.0 | 4940 | 0.0452 | |
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### Framework versions |
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- Transformers 4.21.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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