---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
model-index:
- name: cmb-20s_asr-scr_w2v2-base_001
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cmb-20s_asr-scr_w2v2-base_001

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: 0.4292
- Per: 0.1270
- Pcc: 0.6421
- Ctc Loss: 0.3927
- Mse Loss: 0.9759

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 1111
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8928
- training_steps: 89280
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Per    | Pcc    | Ctc Loss | Mse Loss |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:--------:|:--------:|
| 11.2433       | 3.0   | 8928  | 4.4453          | 0.9956 | 0.6128 | 3.7641   | 0.9015   |
| 3.0401        | 6.0   | 17856 | 1.4595          | 0.1725 | 0.6569 | 0.6144   | 0.8126   |
| 1.1033        | 9.0   | 26784 | 1.2737          | 0.1429 | 0.6630 | 0.4640   | 0.8414   |
| 0.6225        | 12.0  | 35712 | 1.2199          | 0.1361 | 0.6559 | 0.4317   | 0.9022   |
| 0.1917        | 15.0  | 44640 | 1.1453          | 0.1328 | 0.6507 | 0.4158   | 0.9433   |
| -0.2369       | 18.0  | 53568 | 1.0993          | 0.1299 | 0.6454 | 0.4055   | 1.0059   |
| -0.6422       | 21.0  | 62496 | 1.0154          | 0.1288 | 0.6420 | 0.4013   | 1.0500   |
| -1.0425       | 24.0  | 71424 | 0.7199          | 0.1279 | 0.6421 | 0.3942   | 1.0017   |
| -1.3918       | 27.0  | 80352 | 0.3882          | 0.1274 | 0.6428 | 0.3945   | 0.9264   |
| -1.6077       | 30.0  | 89280 | 0.4292          | 0.1270 | 0.6421 | 0.3927   | 0.9759   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.2