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---
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ./2623
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. -->
# ./2623
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co./openai/whisper-large-v3) on the 2623 FULL dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5176
- Wer Ortho: 27.7646
- Wer: 19.7671
## 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: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 800
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
| 0.8323 | 0.6780 | 100 | 0.5981 | 33.0631 | 24.2505 |
| 0.5649 | 1.3559 | 200 | 0.5405 | 32.6716 | 24.1167 |
| 0.4921 | 2.0339 | 300 | 0.5132 | 30.1272 | 22.0155 |
| 0.3926 | 2.7119 | 400 | 0.5088 | 28.8271 | 21.1724 |
| 0.348 | 3.3898 | 500 | 0.5122 | 27.7925 | 19.6868 |
| 0.3125 | 4.0678 | 600 | 0.5093 | 28.2958 | 20.3560 |
| 0.2761 | 4.7458 | 700 | 0.5146 | 27.5828 | 19.5262 |
| 0.2664 | 5.4237 | 800 | 0.5176 | 27.7646 | 19.7671 |
### Framework versions
- Transformers 4.44.0
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1
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