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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- amazon_reviews_multi |
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base_model: facebook/bart-base |
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model-index: |
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- name: reviews-generator |
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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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# reviews-generator |
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the amazon_reviews_multi dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3020 |
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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: 0.0001 |
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- train_batch_size: 64 |
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- eval_batch_size: 8 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1.0 |
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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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| 3.7284 | 0.16 | 500 | 3.5020 | |
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| 3.6202 | 0.32 | 1000 | 3.4170 | |
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| 3.5477 | 0.48 | 1500 | 3.3667 | |
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| 3.5218 | 0.64 | 2000 | 3.3395 | |
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| 3.5097 | 0.8 | 2500 | 3.3167 | |
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| 3.5009 | 0.96 | 3000 | 3.3020 | |
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### Framework versions |
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- Transformers 4.18.0.dev0 |
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- Pytorch 1.10.1 |
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- Datasets 1.18.4 |
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- Tokenizers 0.11.0 |
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