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-data-augmentation_light
  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-data-augmentation_light

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: 0.2736
- Wer: 0.2338

## 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   | 0.4566          | 0.2819 |
| No log        | 0.4   | 20   | 0.3958          | 0.2494 |
| No log        | 0.6   | 30   | 0.3829          | 0.2237 |
| No log        | 0.8   | 40   | 0.3622          | 0.2103 |
| 0.7129        | 1.0   | 50   | 0.3751          | 0.2025 |
| 0.7129        | 1.2   | 60   | 0.3737          | 0.2025 |
| 0.7129        | 1.4   | 70   | 0.3765          | 0.2025 |
| 0.7129        | 1.6   | 80   | 0.3589          | 0.2069 |
| 0.7129        | 1.8   | 90   | 0.3246          | 0.1902 |
| 0.3852        | 2.0   | 100  | 0.3146          | 0.1879 |
| 0.3852        | 2.2   | 110  | 0.3209          | 0.1790 |
| 0.3852        | 2.4   | 120  | 0.3129          | 0.1779 |
| 0.3852        | 2.6   | 130  | 0.3003          | 0.1790 |
| 0.3852        | 2.8   | 140  | 0.2998          | 0.1790 |
| 0.2803        | 3.0   | 150  | 0.2851          | 0.1868 |
| 0.2803        | 3.2   | 160  | 0.2753          | 0.1801 |
| 0.2803        | 3.4   | 170  | 0.2957          | 0.1834 |
| 0.2803        | 3.6   | 180  | 0.2869          | 0.1790 |
| 0.2803        | 3.8   | 190  | 0.2650          | 0.1823 |
| 0.2545        | 4.0   | 200  | 0.2577          | 0.1734 |
| 0.2545        | 4.2   | 210  | 0.2389          | 0.1779 |
| 0.2545        | 4.4   | 220  | 0.2330          | 0.1801 |
| 0.2545        | 4.6   | 230  | 0.2592          | 0.1745 |
| 0.2545        | 4.8   | 240  | 0.2631          | 0.1779 |
| 0.2273        | 5.0   | 250  | 0.2305          | 0.1801 |
| 0.2273        | 5.2   | 260  | 0.2009          | 0.1913 |
| 0.2273        | 5.4   | 270  | 0.1982          | 0.1946 |
| 0.2273        | 5.6   | 280  | 0.1849          | 0.2002 |
| 0.2273        | 5.8   | 290  | 0.2038          | 0.1879 |
| 0.2192        | 6.0   | 300  | 0.2504          | 0.1857 |
| 0.2192        | 6.2   | 310  | 0.2993          | 0.1790 |
| 0.2192        | 6.4   | 320  | 0.2544          | 0.1812 |
| 0.2192        | 6.6   | 330  | 0.2471          | 0.1969 |
| 0.2192        | 6.8   | 340  | 0.2688          | 0.1868 |
| 0.232         | 7.0   | 350  | 0.2264          | 0.2069 |
| 0.232         | 7.2   | 360  | 0.2695          | 0.1924 |
| 0.232         | 7.4   | 370  | 0.2728          | 0.1946 |
| 0.232         | 7.6   | 380  | 0.2508          | 0.1902 |
| 0.232         | 7.8   | 390  | 0.2499          | 0.1723 |
| 0.216         | 8.0   | 400  | 0.2035          | 0.1946 |
| 0.216         | 8.2   | 410  | 0.2620          | 0.1767 |
| 0.216         | 8.4   | 420  | 0.2655          | 0.1879 |
| 0.216         | 8.6   | 430  | 0.2773          | 0.2069 |
| 0.216         | 8.8   | 440  | 0.3075          | 0.2058 |
| 0.207         | 9.0   | 450  | 0.2791          | 0.1980 |
| 0.207         | 9.2   | 460  | 0.2045          | 0.1924 |
| 0.207         | 9.4   | 470  | 0.2329          | 0.2036 |
| 0.207         | 9.6   | 480  | 0.2200          | 0.2114 |
| 0.207         | 9.8   | 490  | 0.2864          | 0.2237 |
| 0.2199        | 10.0  | 500  | 0.2736          | 0.2338 |


### Framework versions

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