Goodreads_Books_Reviews_BERT_51

This model is a fine-tuned version of bert-base-uncased on the Goodreads Books Reviews dataset. It achieves the following results on the evaluation set:

• Loss: 0.9079
• F1: 0.6366
• Accuracy: 0.6355

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.9474	1.0	7080	0.9415	0.6165	0.6179
0.8295	2.0	14160	0.9079	0.6366	0.6355

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1