metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- asr-fyp
- generated_from_trainer
datasets:
- AshtonLKY/Whisper_ASR_ATC
model-index:
- name: Whisper_ASR_ATC
results: []
Whisper_ASR_ATC
This model is a fine-tuned version of openai/whisper-small on the AshtonLKY/augmented_audio dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1312
- eval_wer: 16.8206
- eval_runtime: 4349.6365
- eval_samples_per_second: 3.089
- eval_steps_per_second: 0.193
- epoch: 1.7857
- step: 3000
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: 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: 25000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1