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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-cynthia-tedlium-2500-v2
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-cynthia-tedlium-2500-v2
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: 0.6376
- Wer: 0.2137
## 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: 0.0005
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7233 | 5.26 | 400 | 5.6115 | 0.4909 |
| 0.7224 | 10.52 | 800 | 1.1835 | 0.3629 |
| 0.5193 | 15.78 | 1200 | 0.5786 | 0.2994 |
| 0.4114 | 21.05 | 1600 | 0.6535 | 0.2823 |
| 0.3279 | 26.31 | 2000 | 0.6783 | 0.2709 |
| 0.2711 | 31.58 | 2400 | 0.6570 | 0.2490 |
| 0.2776 | 36.84 | 2800 | 0.6724 | 0.2358 |
| 0.1805 | 42.1 | 3200 | 0.6212 | 0.2241 |
| 0.1535 | 47.37 | 3600 | 0.6376 | 0.2137 |
### Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu113
- Datasets 1.13.3
- Tokenizers 0.10.3
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