baseline_review_generation1
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4088
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 1
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.871 | 1.0 | 500 | 2.4902 |
2.6348 | 2.0 | 1000 | 2.4429 |
2.5298 | 3.0 | 1500 | 2.4215 |
2.4425 | 4.0 | 2000 | 2.4071 |
2.3832 | 5.0 | 2500 | 2.4084 |
2.3496 | 6.0 | 3000 | 2.4088 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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