metadata

license: apache-2.0
base_model: ntu-spml/distilhubert
tags:
  - generated_from_trainer
model-index:
  - name: distilhubert-finetuned-dataset
    results: []

distilhubert-finetuned-dataset

This model is a fine-tuned version of ntu-spml/distilhubert on the None dataset.

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 100
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.3.0
Datasets 2.20.0
Tokenizers 0.19.1