---
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec2-large-sw-cv-100hr-v5
  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-v5

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: 0.8148
- Model Preparation Time: 0.0038
- Wer: 0.5557
- Cer: 0.2034

## 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: 0.0007
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.033
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Model Preparation Time | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:------:|:------:|
| 1.5047        | 1.0   | 1040  | 0.5420          | 0.0038                 | 0.5182 | 0.1481 |
| 0.4317        | 2.0   | 2080  | 0.6919          | 0.0038                 | 0.6485 | 0.2046 |
| 1.7978        | 3.0   | 3120  | 2.9072          | 0.0038                 | 1.0    | 1.0    |
| 2.8626        | 4.0   | 4160  | 2.8802          | 0.0038                 | 1.0    | 1.0    |
| 2.8609        | 5.0   | 5200  | 2.8577          | 0.0038                 | 1.0    | 1.0    |
| 2.861         | 6.0   | 6240  | 2.8602          | 0.0038                 | 1.0    | 1.0    |
| 2.8602        | 7.0   | 7280  | 2.8747          | 0.0038                 | 1.0    | 1.0    |
| 2.8603        | 8.0   | 8320  | 2.8618          | 0.0038                 | 1.0    | 1.0    |
| 2.8597        | 9.0   | 9360  | 2.8668          | 0.0038                 | 1.0    | 1.0    |
| 2.8598        | 10.0  | 10400 | 2.8657          | 0.0038                 | 1.0    | 1.0    |
| 2.8598        | 11.0  | 11440 | 2.8603          | 0.0038                 | 1.0    | 1.0    |


### Framework versions

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