Hugging Face's logo

sage-bergerson
/
whisper-large-edacc-v3

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
whisper-large-edacc-v3 / README.md
sage-bergerson's picture
sage-bergerson
Update README.md
3b719ff verified
preview code
|
raw
history blame contribute delete
1.47 kB
metadata
library_name: transformers
language:
  - en
license: cc-by-sa-4.0
base_model: openai/whisper-large
tags:
  - generated_from_trainer
datasets:
  - sage-bergerson/edacc_processed
model-index:
  - name: Whisper Large EdAcc V3
    results: []

Whisper Large EdAcc V3

This model is a fine-tuned version of openai/whisper-large on the EdAcc dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5752

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-06
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 600
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.6164 1.9481 600 0.5752

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1