transformers tensorboard safetensors wav2vec2 automatic-speech-recognition generated_from_trainer base_model:carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h license:cc-by-4.0 endpoints_compatible region:us
---
license: cc-by-4.0
base_model: carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Icelandic-finetuned-no-data-augmentation
  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. -->

# Icelandic-finetuned-no-data-augmentation

This model is a fine-tuned version of [carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h](https://huggingface.co/carlosdanielhernandezmena/wav2vec2-large-xlsr-53-icelandic-ep10-1000h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1262
- Wer: 0.1544

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.2   | 10   | 0.2849          | 0.1667 |
| No log        | 0.4   | 20   | 0.3085          | 0.1611 |
| No log        | 0.6   | 30   | 0.3264          | 0.1600 |
| No log        | 0.8   | 40   | 0.3149          | 0.1577 |
| 0.3456        | 1.0   | 50   | 0.3221          | 0.1588 |
| 0.3456        | 1.2   | 60   | 0.3183          | 0.1577 |
| 0.3456        | 1.4   | 70   | 0.3133          | 0.1510 |
| 0.3456        | 1.6   | 80   | 0.3069          | 0.1521 |
| 0.3456        | 1.8   | 90   | 0.2970          | 0.1521 |
| 0.2689        | 2.0   | 100  | 0.2782          | 0.1477 |
| 0.2689        | 2.2   | 110  | 0.2242          | 0.1488 |
| 0.2689        | 2.4   | 120  | 0.2257          | 0.1454 |
| 0.2689        | 2.6   | 130  | 0.2722          | 0.1521 |
| 0.2689        | 2.8   | 140  | 0.2564          | 0.1488 |
| 0.2312        | 3.0   | 150  | 0.1811          | 0.1521 |
| 0.2312        | 3.2   | 160  | 0.1762          | 0.1454 |
| 0.2312        | 3.4   | 170  | 0.2154          | 0.1421 |
| 0.2312        | 3.6   | 180  | 0.1873          | 0.1465 |
| 0.2312        | 3.8   | 190  | 0.2015          | 0.1465 |
| 0.2153        | 4.0   | 200  | 0.2402          | 0.1499 |
| 0.2153        | 4.2   | 210  | 0.2366          | 0.1454 |
| 0.2153        | 4.4   | 220  | 0.1890          | 0.1477 |
| 0.2153        | 4.6   | 230  | 0.1897          | 0.1499 |
| 0.2153        | 4.8   | 240  | 0.1777          | 0.1488 |
| 0.1986        | 5.0   | 250  | 0.1659          | 0.1555 |
| 0.1986        | 5.2   | 260  | 0.1936          | 0.1588 |
| 0.1986        | 5.4   | 270  | 0.2044          | 0.1532 |
| 0.1986        | 5.6   | 280  | 0.1958          | 0.1555 |
| 0.1986        | 5.8   | 290  | 0.1760          | 0.1521 |
| 0.1842        | 6.0   | 300  | 0.2056          | 0.1600 |
| 0.1842        | 6.2   | 310  | 0.1649          | 0.1532 |
| 0.1842        | 6.4   | 320  | 0.2269          | 0.1532 |
| 0.1842        | 6.6   | 330  | 0.1572          | 0.1488 |
| 0.1842        | 6.8   | 340  | 0.1890          | 0.1600 |
| 0.181         | 7.0   | 350  | 0.1757          | 0.1700 |
| 0.181         | 7.2   | 360  | 0.2322          | 0.1644 |
| 0.181         | 7.4   | 370  | 0.2644          | 0.1600 |
| 0.181         | 7.6   | 380  | 0.2047          | 0.1555 |
| 0.181         | 7.8   | 390  | 0.2406          | 0.1678 |
| 0.1751        | 8.0   | 400  | 0.2820          | 0.1678 |
| 0.1751        | 8.2   | 410  | 0.2965          | 0.1655 |
| 0.1751        | 8.4   | 420  | 0.2841          | 0.1667 |
| 0.1751        | 8.6   | 430  | 0.2527          | 0.1734 |
| 0.1751        | 8.8   | 440  | 0.5464          | 0.1700 |
| 0.1836        | 9.0   | 450  | 0.2185          | 0.1622 |
| 0.1836        | 9.2   | 460  | 0.2129          | 0.1857 |
| 0.1836        | 9.4   | 470  | 0.3367          | 0.1779 |
| 0.1836        | 9.6   | 480  | 0.1457          | 0.1644 |
| 0.1836        | 9.8   | 490  | 0.1320          | 0.1667 |
| 0.2141        | 10.0  | 500  | 0.1262          | 0.1544 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
