metadata

license: mit
base_model: distil-whisper/distil-large-v2
tags:
  - generated_from_trainer
model-index:
  - name: RobertKrausz92-rao-vandromme-purcell-distil-finetuned-250
    results: []

RobertKrausz92-rao-vandromme-purcell-distil-finetuned-250

This model is a fine-tuned version of distil-whisper/distil-large-v2 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: 1e-05
train_batch_size: 16
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_steps: 25
training_steps: 250

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0