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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: dys_asr_10min
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. -->
# dys_asr_10min
This model is a fine-tuned version of [Splend1dchan/wav2vec2-large-10min-lv60-self](https://huggingface.co/Splend1dchan/wav2vec2-large-10min-lv60-self) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0198
- Wer: 1.0093
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 9.9259 | 1.36 | 500 | 2.4431 | 1.0062 |
| 1.6108 | 2.72 | 1000 | 0.3387 | 1.2243 |
| 0.4361 | 4.09 | 1500 | 0.0900 | 1.0467 |
| 0.1645 | 5.45 | 2000 | 0.0369 | 1.0498 |
| 0.1078 | 6.81 | 2500 | 0.0198 | 1.0093 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2
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