---
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: 2.8721
- Model Preparation Time: 0.0042
- Wer: 0.9997
- Cer: 0.9176

## 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: 0.0001
- 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: 0.1
- num_epochs: 120
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Model Preparation Time | Wer    | Cer    |
|:-------------:|:-------:|:-----:|:---------------:|:----------------------:|:------:|:------:|
| 4.0159        | 0.9998  | 2079  | 2.7894          | 0.0042                 | 0.9999 | 0.9048 |
| 2.8122        | 2.0     | 4159  | 2.8360          | 0.0042                 | 1.0    | 1.0    |
| 2.8312        | 2.9998  | 6238  | 2.8331          | 0.0042                 | 1.0    | 1.0    |
| 2.8295        | 4.0     | 8318  | 2.8340          | 0.0042                 | 1.0    | 1.0    |
| 2.8306        | 4.9998  | 10397 | 2.8309          | 0.0042                 | 1.0    | 1.0    |
| 2.8301        | 6.0     | 12477 | 2.8451          | 0.0042                 | 1.0    | 1.0    |
| 2.8305        | 6.9998  | 14556 | 2.8320          | 0.0042                 | 1.0    | 1.0    |
| 2.8547        | 8.0     | 16636 | 2.8626          | 0.0042                 | 1.0    | 1.0    |
| 2.8611        | 8.9998  | 18715 | 2.8569          | 0.0042                 | 1.0    | 1.0    |
| 2.8596        | 10.0    | 20795 | 2.8573          | 0.0042                 | 1.0    | 1.0    |
| 2.861         | 10.9998 | 22874 | 2.8570          | 0.0042                 | 1.0    | 1.0    |


### Framework versions

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