metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-amazon-shoe-reviews
results: []
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: 0.9546
- Accuracy: 0.5788
- F1: [0.62939855 0.4656164 0.50839092 0.5594581 0.73356926]
- Precision: [0.62705122 0.47043962 0.49258728 0.58103179 0.7255 ]
- Recall: [0.63176353 0.46089109 0.52524222 0.53942912 0.74182004]
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 |
|---|---|---|---|---|---|---|---|
| 0.9611 | 1.0 | 2813 | 0.9546 | 0.5788 | [0.62939855 0.4656164 0.50839092 0.5594581 0.73356926] | [0.62705122 0.47043962 0.49258728 0.58103179 0.7255 ] | [0.63176353 0.46089109 0.52524222 0.53942912 0.74182004] |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3