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distilbert-amazon-shoe-reviews
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9519
- Accuracy: 0.5757
- F1: [0.63178677 0.45622938 0.50453543 0.55380711 0.73119358]
- Precision: [0.62256809 0.46798542 0.48583569 0.58248799 0.71751969]
- Recall: [0.64128257 0.4450495 0.52473228 0.52781809 0.74539877]
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.9652 | 1.0 | 2813 | 0.9519 | 0.5757 | [0.63178677 0.45622938 0.50453543 0.55380711 0.73119358] | [0.62256809 0.46798542 0.48583569 0.58248799 0.71751969] | [0.64128257 0.4450495 0.52473228 0.52781809 0.74539877] |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
