pytorch tensorboard wav2vec2 automatic-speech-recognition transformers generated_from_trainer license:apache-2.0 model-index
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: trained_french
  results: []
---

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# trained_french

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: 4.8493
- Wer: 1.0

## 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: 0.003
- train_batch_size: 6
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- num_epochs: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 6.2268        | 5.53  | 50   | 4.9813          | 1.0 |
| 5.724         | 11.11 | 100  | 4.8808          | 1.0 |
| 5.629         | 16.63 | 150  | 4.9001          | 1.0 |
| 5.3351        | 22.21 | 200  | 4.8457          | 1.0 |
| 5.2043        | 27.74 | 250  | 4.8386          | 1.0 |
| 5.1709        | 33.32 | 300  | 4.8647          | 1.0 |
| 5.065         | 38.84 | 350  | 4.8574          | 1.0 |
| 5.0685        | 44.42 | 400  | 4.8449          | 1.0 |
| 5.0584        | 49.95 | 450  | 4.8412          | 1.0 |
| 4.9626        | 55.53 | 500  | 4.8493          | 1.0 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
