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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: temp1
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. -->
# temp1
This model is a fine-tuned version of [hts98/whisper-medium-1113](https://huggingface.co/hts98/whisper-medium-1113) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2595
- 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: 1e-05
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- training_steps: 200
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-----:|
| 0.2081 | 1.2 | 30 | 0.2595 | 100.0 |
| 0.0803 | 2.4 | 60 | 0.2897 | 100.0 |
| 0.0421 | 3.6 | 90 | 0.3009 | 100.0 |
| 0.0207 | 4.8 | 120 | 0.3233 | 100.0 |
| 0.0091 | 6.0 | 150 | 0.3221 | 100.0 |
| 0.0043 | 7.2 | 180 | 0.3213 | 100.0 |
### Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.7.0
- Tokenizers 0.13.3
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