metadata

license: apache-2.0
base_model: dadashzadeh/tiny-bert-Sentiment-persian
tags:
  - generated_from_trainer
model-index:
  - name: tiny-bert-Sentiment-persian
    results: []

tiny-bert-Sentiment-persian

This model is a fine-tuned version of dadashzadeh/tiny-bert-Sentiment-persian on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6440
eval_accuracy: 0.7546
eval_runtime: 1.4751
eval_samples_per_second: 1569.396
eval_steps_per_second: 71.86
step: 0

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: 22
eval_batch_size: 22
seed: 50
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 11

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1