distilbert-amazon-shoe-reviews-tensorboard

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: 0.9534
• Accuracy: 0.5779
• F1: [0.63189419 0.46645049 0.50381304 0.55843496 0.73060507]
• Precision: [0.62953754 0.47008547 0.48669202 0.58801498 0.71780957]
• Recall: [0.63426854 0.46287129 0.52218256 0.53168844 0.74386503]

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
0.8776	1.0	2813	0.9534	0.5779	[0.63189419 0.46645049 0.50381304 0.55843496 0.73060507]	[0.62953754 0.47008547 0.48669202 0.58801498 0.71780957]	[0.63426854 0.46287129 0.52218256 0.53168844 0.74386503]

Framework versions

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