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---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: sh_sr_model
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. -->
# sh_sr_model
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0234
- Wer: 0.4765
- Cer: 0.8746
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.9917 | 20.0 | 100 | 1.3445 | 0.5882 | 0.8796 |
| 0.5644 | 40.0 | 200 | 1.3491 | 0.4941 | 0.875 |
| 0.3946 | 60.0 | 300 | 1.7289 | 0.5412 | 0.8762 |
| 0.2667 | 80.0 | 400 | 1.8795 | 0.5235 | 0.8762 |
| 0.2559 | 100.0 | 500 | 2.0205 | 0.5235 | 0.8772 |
| 0.2148 | 120.0 | 600 | 1.8615 | 0.4941 | 0.875 |
| 0.1694 | 140.0 | 700 | 1.9697 | 0.4765 | 0.8746 |
| 0.1793 | 160.0 | 800 | 1.9240 | 0.4706 | 0.8732 |
| 0.1598 | 180.0 | 900 | 2.0063 | 0.4765 | 0.8742 |
| 0.1569 | 200.0 | 1000 | 2.0234 | 0.4765 | 0.8746 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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