---
base_model: facebook/wav2vec2-large
license: apache-2.0
metrics:
- wer
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-large-sw-cv-100hr-v2
  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-v2

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: 0.6293
- Model Preparation Time: 0.004
- Wer: 0.3558
- Cer: 0.1353

## 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: 0.6
- num_epochs: 120
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Model Preparation Time | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:------:|:------:|
| 3.5004        | 1.0   | 1040  | 0.7862          | 0.004                  | 0.6822 | 0.1909 |
| 0.4704        | 2.0   | 2080  | 0.5245          | 0.004                  | 0.4970 | 0.1335 |
| 0.3202        | 3.0   | 3120  | 0.4288          | 0.004                  | 0.3956 | 0.1066 |
| 0.2551        | 4.0   | 4160  | 0.3800          | 0.004                  | 0.3644 | 0.0962 |
| 0.2213        | 5.0   | 5200  | 0.3481          | 0.004                  | 0.3358 | 0.0911 |
| 0.2005        | 6.0   | 6240  | 0.3241          | 0.004                  | 0.3101 | 0.0839 |
| 0.1911        | 7.0   | 7280  | 0.3535          | 0.004                  | 0.3283 | 0.0924 |
| 0.1854        | 8.0   | 8320  | 0.3161          | 0.004                  | 0.3002 | 0.0843 |
| 0.1819        | 9.0   | 9360  | 0.3181          | 0.004                  | 0.3233 | 0.0964 |
| 0.1788        | 10.0  | 10400 | 0.3099          | 0.004                  | 0.3086 | 0.0832 |
| 0.1796        | 11.0  | 11440 | 0.3245          | 0.004                  | 0.3011 | 0.0827 |
| 0.1805        | 12.0  | 12480 | 0.3068          | 0.004                  | 0.2967 | 0.0845 |
| 0.1791        | 13.0  | 13520 | 0.3163          | 0.004                  | 0.3076 | 0.0864 |
| 0.1812        | 14.0  | 14560 | 0.3336          | 0.004                  | 0.3104 | 0.0867 |
| 0.1844        | 15.0  | 15600 | 0.3257          | 0.004                  | 0.3117 | 0.0864 |
| 0.1884        | 16.0  | 16640 | 0.3440          | 0.004                  | 0.3136 | 0.0886 |
| 0.1979        | 17.0  | 17680 | 0.3444          | 0.004                  | 0.3172 | 0.0899 |
| 0.2058        | 18.0  | 18720 | 0.3286          | 0.004                  | 0.3456 | 0.1092 |
| 0.2114        | 19.0  | 19760 | 0.3603          | 0.004                  | 0.3358 | 0.0969 |
| 0.2229        | 20.0  | 20800 | 0.3658          | 0.004                  | 0.3301 | 0.0954 |
| 0.2275        | 21.0  | 21840 | 0.3849          | 0.004                  | 0.3729 | 0.1197 |
| 0.2351        | 22.0  | 22880 | 0.3753          | 0.004                  | 0.3488 | 0.1011 |


### Framework versions

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