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---
library_name: transformers
license: apache-2.0
base_model: deepdml/whisper-large-v3-turbo
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output_dir
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output_dir
This model is a fine-tuned version of [deepdml/whisper-large-v3-turbo](https://huggingface.co./deepdml/whisper-large-v3-turbo) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4598
- Wer: 20.0
## 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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:----:|
| 0.7947 | 1.0 | 1 | 1.4598 | 20.0 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
|