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---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper_tiny_char
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. -->
# whisper_tiny_char
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3979
- Wer: 100.0
## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 1.1664 | 1.0 | 859 | 0.5140 | 100.0 |
| 0.5122 | 2.0 | 1718 | 0.4044 | 100.0 |
| 0.4035 | 3.0 | 2577 | 0.3596 | 100.0 |
| 0.3403 | 4.0 | 3436 | 0.3394 | 100.0 |
| 0.2967 | 5.0 | 4295 | 0.3395 | 100.0 |
| 0.2582 | 6.0 | 5154 | 0.3314 | 100.0 |
| 0.2286 | 7.0 | 6013 | 0.3571 | 100.0 |
| 0.2034 | 8.0 | 6872 | 0.3590 | 100.0 |
| 0.181 | 9.0 | 7731 | 0.3706 | 100.0 |
| 0.1618 | 10.0 | 8590 | 0.3979 | 100.0 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1
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