bert_reviews
This model is a fine-tuned version of bert-base-cased on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8063
- eval_accuracy: 0.647
- eval_runtime: 38.7598
- eval_samples_per_second: 129.0
- eval_steps_per_second: 16.125
- epoch: 0.52
- step: 13000
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: 1.2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 20000
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Iiro/bert_reviews
Base model
google-bert/bert-base-cased