metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model_whisper_base_atco2
results: []
model_whisper_base_atco2
This model is a fine-tuned version of openai/whisper-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1121
- Wer: 4.5085
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.221 | 1.0 | 1012 | 0.1050 | 6.2112 |
| 0.062 | 2.0 | 2024 | 0.0924 | 7.5700 |
| 0.0283 | 3.0 | 3036 | 0.0885 | 5.2969 |
| 0.0152 | 4.0 | 4048 | 0.0924 | 4.7559 |
| 0.0081 | 5.0 | 5060 | 0.0966 | 5.3263 |
| 0.0058 | 6.0 | 6072 | 0.0990 | 4.5169 |
| 0.0053 | 7.0 | 7084 | 0.1019 | 4.4791 |
| 0.0041 | 8.0 | 8096 | 0.1057 | 4.2610 |
| 0.0043 | 9.0 | 9108 | 0.1058 | 4.6217 |
| 0.0031 | 10.0 | 10120 | 0.1121 | 4.5085 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1