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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-9
  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. -->

# wav2vec2-9

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0821
- 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: 0.005
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 3.2803        | 1.56  | 200  | 3.1231          | 1.0 |
| 2.8809        | 3.12  | 400  | 3.0366          | 1.0 |
| 2.8761        | 4.69  | 600  | 3.1217          | 1.0 |
| 2.8641        | 6.25  | 800  | 3.0584          | 1.0 |
| 2.866         | 7.81  | 1000 | 3.0318          | 1.0 |
| 2.865         | 9.38  | 1200 | 3.0789          | 1.0 |
| 2.8642        | 10.94 | 1400 | 3.0560          | 1.0 |
| 2.8617        | 12.5  | 1600 | 2.9985          | 1.0 |
| 2.8573        | 14.06 | 1800 | 3.1928          | 1.0 |
| 2.8609        | 15.62 | 2000 | 3.0782          | 1.0 |
| 2.8605        | 17.19 | 2200 | 3.1244          | 1.0 |
| 2.8638        | 18.75 | 2400 | 3.0417          | 1.0 |
| 2.8578        | 20.31 | 2600 | 3.1586          | 1.0 |
| 2.8579        | 21.88 | 2800 | 3.0409          | 1.0 |
| 2.8569        | 23.44 | 3000 | 3.0537          | 1.0 |
| 2.8574        | 25.0  | 3200 | 3.0105          | 1.0 |
| 2.8536        | 26.56 | 3400 | 3.0901          | 1.0 |
| 2.8571        | 28.12 | 3600 | 3.0904          | 1.0 |
| 2.8532        | 29.69 | 3800 | 3.0821          | 1.0 |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1