dys_asr_100h / README.md
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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: dys_asr_100h
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dys_asr_100h
This model is a fine-tuned version of [Splend1dchan/wav2vec2-large-100h-lv60-self](https://huggingface.co/Splend1dchan/wav2vec2-large-100h-lv60-self) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0362
- Wer: 1.0187
## 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: 8
- 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: 7
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 10.8404 | 1.36 | 500 | 2.4671 | 1.0 |
| 1.7126 | 2.72 | 1000 | 0.3951 | 1.2118 |
| 0.5618 | 4.09 | 1500 | 0.1192 | 1.0841 |
| 0.2301 | 5.45 | 2000 | 0.0547 | 1.0187 |
| 0.1409 | 6.81 | 2500 | 0.0362 | 1.0187 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2