metadata

library_name: transformers
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
  - generated_from_trainer
model-index:
  - name: whisper-large-v2-english-medical-2
    results: []

whisper-large-v2-english-medical-2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1072

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	249	0.1321
No log	2.0	498	0.1072

Framework versions

Transformers 4.45.2
Pytorch 2.4.0+cu121
Datasets 2.18.0
Tokenizers 0.20.1