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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: emilios/whisper-sm-farsipal-e7
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. -->
# emilios/whisper-sm-farsipal-e7
This model is a fine-tuned version of [emilios/whisper-sm-farsipal-e7](https://huggingface.co./emilios/whisper-sm-farsipal-e7) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5020
- Wer: 16.5583
## 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-09
- train_batch_size: 32
- eval_batch_size: 16
- 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: 500
- training_steps: 10000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 0.0002 | 2.49 | 1000 | 0.5015 | 16.5212 |
| 0.0002 | 4.98 | 2000 | 0.5015 | 16.5119 |
| 0.0002 | 7.46 | 3000 | 0.5015 | 16.5397 |
| 0.0002 | 9.95 | 4000 | 0.5015 | 16.5397 |
| 0.0002 | 12.44 | 5000 | 0.5015 | 16.5583 |
| 0.0002 | 14.93 | 6000 | 0.5015 | 16.5769 |
| 0.0002 | 17.41 | 7000 | 0.5015 | 16.5397 |
| 0.0002 | 19.9 | 8000 | 0.5015 | 16.5026 |
| 0.0002 | 22.39 | 9000 | 0.5015 | 16.5212 |
| 0.0002 | 24.88 | 10000 | 0.5020 | 16.5583 |
### Framework versions
- Transformers 4.26.0.dev0
- Pytorch 2.0.0.dev20221216+cu116
- Datasets 2.7.1.dev0
- Tokenizers 0.13.2
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