bert_medium_Goodreads_Books_Reviews

This model is a fine-tuned version of prajjwal1/bert-medium on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8175
• F1: 0.6058
• Accuracy: 0.6523

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: 3e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Accuracy
0.8393	1.0	12657	0.8355	0.5960	0.6430
0.7965	2.0	25314	0.8175	0.6058	0.6523

Framework versions

• Transformers 4.38.1
• Pytorch 2.2.1+cu121
• Datasets 2.17.1
• Tokenizers 0.15.2