metadata
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-large-v2-atcosim_corpus
results: []
whisper-large-v2-atcosim_corpus
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1606
- Wer: 4.6858
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: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0011 | 19.2308 | 250 | 0.1478 | 4.8988 |
| 0.0001 | 38.4615 | 500 | 0.1606 | 4.6858 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1