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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- null |
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model_index: |
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- name: bart-mlm |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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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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# bart-mlm |
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This model is a fine-tuned version of [mwesner/bart-mlm](https://huggingface.co/mwesner/bart-mlm) on the CNN/Dailymail dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.5338 |
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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: 0.001 |
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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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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 7.5202 | 1.0 | 15237 | 7.5964 | |
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| 7.5151 | 2.0 | 30474 | 7.5400 | |
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| 7.5157 | 3.0 | 45711 | 7.5351 | |
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| 7.5172 | 4.0 | 60948 | 7.5317 | |
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| 7.5108 | 5.0 | 76185 | 7.5338 | |
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### Framework versions |
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- Transformers 4.8.1 |
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- Pytorch 1.9.0 |
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- Datasets 1.11.0 |
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- Tokenizers 0.10.3 |
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