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---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-medical-internal-noise-v0
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. -->
# wav2vec2-medical-internal-noise-v0
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5649
- Wer: 0.3172
## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- 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: linear
- num_epochs: 6.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6667 | 1.14 | 150 | 0.6710 | 0.3654 |
| 0.5023 | 2.28 | 300 | 0.6016 | 0.3413 |
| 0.4384 | 3.43 | 450 | 0.5907 | 0.3325 |
| 0.3536 | 4.57 | 600 | 0.5693 | 0.3221 |
| 0.3158 | 5.71 | 750 | 0.5649 | 0.3172 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.2
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