metadata

license: apache-2.0
tags:
  - generated_from_trainer
metrics:
  - accuracy
base_model: bert-base-uncased
model-index:
  - name: movie-genre-prediction_bert-base-uncased
    results: []

movie-genre-prediction_bert-base-uncased

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

Loss: 1.6356
Accuracy: 0.4201

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: 200
eval_batch_size: 200
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	Accuracy
No log	1.0	189	1.6633	0.4130
No log	2.0	378	1.6356	0.4201

Framework versions

Transformers 4.24.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3