reviews-generator
This model is a fine-tuned version of facebook/bart-base on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 3.3020
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.7284 | 0.16 | 500 | 3.5020 |
3.6202 | 0.32 | 1000 | 3.4170 |
3.5477 | 0.48 | 1500 | 3.3667 |
3.5218 | 0.64 | 2000 | 3.3395 |
3.5097 | 0.8 | 2500 | 3.3167 |
3.5009 | 0.96 | 3000 | 3.3020 |
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.10.1
- Datasets 1.18.4
- Tokenizers 0.11.0
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