metadata
base_model: openai/whisper-large-v2
datasets:
- common_voice_14_0
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: temp
results: []
temp
This model is a fine-tuned version of openai/whisper-large-v2 on the common_voice_14_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0663
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2676 | 1.0 | 151 | 1.1656 |
| 0.8175 | 2.0 | 302 | 1.0663 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1