metadata

library_name: transformers
base_model: textattack/bert-base-uncased-yelp-polarity
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: DLthon_BERT
    results: []

DLthon_BERT

This model is a fine-tuned version of textattack/bert-base-uncased-yelp-polarity on an unknown dataset. It achieves the following results on the evaluation set:

Loss: nan
F1: 0.1209

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: 0.01
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
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	109	nan	0.1209
No log	2.0	218	nan	0.1209

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1