transformers safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:jonatasgrosman/wav2vec2-large-xlsr-53-japanese license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: jonatasgrosman/wav2vec2-large-xlsr-53-japanese
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Wav2vec_1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Wav2vec_1

This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-japanese](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-japanese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0459
- Wer: 0.2213
- Cer: 0.1608

## 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: 6e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 3.4904        | 1.0   | 120  | 3.4430          | 0.9970 | 0.9991 |
| 1.1939        | 2.0   | 240  | 1.0064          | 0.8270 | 0.6265 |
| 0.7726        | 3.0   | 360  | 0.6257          | 0.8198 | 0.5705 |
| 0.5502        | 4.0   | 480  | 0.4148          | 0.5910 | 0.3415 |
| 0.4152        | 5.0   | 600  | 0.2439          | 0.4167 | 0.2182 |
| 0.3159        | 6.0   | 720  | 0.1359          | 0.3084 | 0.1762 |
| 0.2425        | 7.0   | 840  | 0.0737          | 0.2523 | 0.1509 |
| 0.1921        | 8.0   | 960  | 0.0459          | 0.2213 | 0.1608 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
