---
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
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# 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