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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-base-medical-demo
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-base-medical-demo
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4566
- Wer: 0.2256
## 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: 32
- 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: 1000
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 4.045 | 3.97 | 500 | 3.0058 | 0.9895 |
| 1.762 | 7.94 | 1000 | 0.5449 | 0.3923 |
| 0.3363 | 11.9 | 1500 | 0.3889 | 0.2890 |
| 0.173 | 15.87 | 2000 | 0.3992 | 0.2524 |
| 0.1127 | 19.84 | 2500 | 0.4172 | 0.2375 |
| 0.0805 | 23.81 | 3000 | 0.4576 | 0.2291 |
| 0.0648 | 27.78 | 3500 | 0.4566 | 0.2256 |
### Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cpu
- Datasets 2.14.6.dev0
- Tokenizers 0.14.1
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