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: 0.9532
• Accuracy: 0.5779
• F1: [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ]
• Precision: [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507]
• Recall: [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753]

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.9713	1.0	2813	0.9532	0.5779	[0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ]	[0.62757927 0.46676662 0.49148534 0.58430541 0.72415507]	[0.6247495 0.46237624 0.52983172 0.53313982 0.74488753]

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu102
• Datasets 2.3.2
• Tokenizers 0.12.1