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---
license: apache-2.0
base_model: jadasdn/open-ai-small-3
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: open-ai-small-4
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. -->
# open-ai-small-4
This model is a fine-tuned version of [jadasdn/open-ai-small-3](https://huggingface.co/jadasdn/open-ai-small-3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4644
- Wer: 26.0796
## 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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1913 | 2.0 | 1000 | 0.3365 | 17.8086 |
| 0.0189 | 4.0 | 2000 | 0.4064 | 17.3732 |
| 0.003 | 6.0 | 3000 | 0.4513 | 23.2204 |
| 0.0016 | 8.0 | 4000 | 0.4644 | 26.0796 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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