metadata

license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: openai/whisper-large-v3
model-index:
  - name: whisper-large-v3-MH-fine-tuned
    results: []

whisper-large-v3-MH-fine-tuned

This model is a fine-tuned version of openai/whisper-large-v3 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.6698
eval_runtime: 7.0899
eval_samples_per_second: 0.987
eval_steps_per_second: 0.282
epoch: 16.0
step: 112

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: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 25
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.2.dev0
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2