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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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metrics: |
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- rouge |
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model-index: |
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- name: barthez-orange-ft |
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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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# barthez-orange-ft |
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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: 7.5955 |
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- Rouge1: 0.7166 |
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- Rouge2: 0.7001 |
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- Rougel: 0.7163 |
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- Rougelsum: 0.7161 |
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- Gen Len: 20.0 |
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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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| No log | 0.96 | 12 | 9.5195 | 0.7166 | 0.7001 | 0.7163 | 0.7161 | 20.0 | |
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| No log | 2.0 | 25 | 8.0721 | 0.7166 | 0.7001 | 0.7163 | 0.7161 | 20.0 | |
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| No log | 2.88 | 36 | 7.5955 | 0.7166 | 0.7001 | 0.7163 | 0.7161 | 20.0 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.13.3 |
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