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reviews-generator2
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: 3.5013
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: 5e-05
- train_batch_size: 32
- 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
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.8034 | 0.08 | 500 | 3.5646 |
| 3.749 | 0.16 | 1000 | 3.5013 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.12.1+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pollner/reviews-generator2") model = AutoModelForSeq2SeqLM.from_pretrained("pollner/reviews-generator2")