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