metadata

license: mit
base_model: prajjwal1/bert-medium
tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
model-index:
  - name: bert_medium_Goodreads_Books_Reviews
    results: []

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