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: 0.9526
- Accuracy: 0.5793
- F1: [0.63065766 0.46287992 0.50875894 0.55936944 0.73581605]
- Precision: [0.62955567 0.46589769 0.49282983 0.58949625 0.7198044 ]
- Recall: [0.63176353 0.45990099 0.52575217 0.53217223 0.75255624]
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 |
|---|---|---|---|---|---|---|---|
| 0.9618 | 1.0 | 2813 | 0.9526 | 0.5793 | [0.63065766 0.46287992 0.50875894 0.55936944 0.73581605] | [0.62955567 0.46589769 0.49282983 0.58949625 0.7198044 ] | [0.63176353 0.45990099 0.52575217 0.53217223 0.75255624] |
Framework versions
- Transformers 4.28.1
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3