---
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-sw-cv-100hr-v3
  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-large-sw-cv-100hr-v3

This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6016
- Model Preparation Time: 0.0041
- Wer: 0.4019
- Cer: 0.1436

## 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_ratio: 0.15
- num_epochs: 120
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Model Preparation Time | Wer    | Cer    |
|:-------------:|:-------:|:-----:|:---------------:|:----------------------:|:------:|:------:|
| 1.6262        | 0.9998  | 2079  | 0.5262          | 0.0041                 | 0.5289 | 0.1392 |
| 0.3281        | 2.0     | 4159  | 0.4055          | 0.0041                 | 0.4037 | 0.1134 |
| 0.265         | 2.9998  | 6238  | 0.3537          | 0.0041                 | 0.3599 | 0.0974 |
| 0.2592        | 4.0     | 8318  | 0.3882          | 0.0041                 | 0.3790 | 0.1157 |
| 0.27          | 4.9998  | 10397 | 0.4337          | 0.0041                 | 0.3919 | 0.1124 |
| 0.3063        | 6.0     | 12477 | 0.4226          | 0.0041                 | 0.4094 | 0.1204 |
| 2.7704        | 6.9998  | 14556 | 2.8607          | 0.0041                 | 1.0    | 1.0    |
| 2.86          | 8.0     | 16636 | 2.8618          | 0.0041                 | 1.0    | 1.0    |
| 2.861         | 8.9998  | 18715 | 2.8596          | 0.0041                 | 1.0    | 1.0    |
| 2.8597        | 10.0    | 20795 | 2.8618          | 0.0041                 | 1.0    | 1.0    |
| 2.8611        | 10.9998 | 22874 | 2.8581          | 0.0041                 | 1.0    | 1.0    |
| 2.8597        | 12.0    | 24954 | 2.8571          | 0.0041                 | 1.0    | 1.0    |
| 2.861         | 12.9998 | 27033 | 2.8568          | 0.0041                 | 1.0    | 1.0    |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1