---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-lv-60-espeak-cv-ft
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f5
  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-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f5

This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2546
- Per: 0.2734

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Per    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|
| 17.6175       | 0.7194  | 400   | 4.5662          | 0.9888 |
| 4.4006        | 1.4388  | 800   | 4.0899          | 0.9888 |
| 4.0709        | 2.1583  | 1200  | 3.6440          | 0.9886 |
| 3.2766        | 2.8777  | 1600  | 1.5594          | 0.4415 |
| 2.0891        | 3.5971  | 2000  | 0.8822          | 0.3426 |
| 1.5968        | 4.3165  | 2400  | 0.6211          | 0.3105 |
| 1.3795        | 5.0360  | 2800  | 0.4977          | 0.2938 |
| 1.1989        | 5.7554  | 3200  | 0.4303          | 0.2885 |
| 1.1349        | 6.4748  | 3600  | 0.3811          | 0.2837 |
| 1.0385        | 7.1942  | 4000  | 0.3563          | 0.2818 |
| 0.994         | 7.9137  | 4400  | 0.3444          | 0.2828 |
| 0.9319        | 8.6331  | 4800  | 0.3272          | 0.2808 |
| 0.8814        | 9.3525  | 5200  | 0.3135          | 0.2789 |
| 0.8881        | 10.0719 | 5600  | 0.3031          | 0.2769 |
| 0.8555        | 10.7914 | 6000  | 0.3001          | 0.2775 |
| 0.8536        | 11.5108 | 6400  | 0.2988          | 0.2789 |
| 0.8036        | 12.2302 | 6800  | 0.2932          | 0.2775 |
| 0.7946        | 12.9496 | 7200  | 0.2906          | 0.2776 |
| 0.7722        | 13.6691 | 7600  | 0.2869          | 0.2785 |
| 0.7714        | 14.3885 | 8000  | 0.2855          | 0.2775 |
| 0.7507        | 15.1079 | 8400  | 0.2792          | 0.2761 |
| 0.7522        | 15.8273 | 8800  | 0.2845          | 0.2771 |
| 0.7436        | 16.5468 | 9200  | 0.2746          | 0.2754 |
| 0.7154        | 17.2662 | 9600  | 0.2755          | 0.2771 |
| 0.7119        | 17.9856 | 10000 | 0.2711          | 0.2753 |
| 0.6945        | 18.7050 | 10400 | 0.2720          | 0.2749 |
| 0.6855        | 19.4245 | 10800 | 0.2671          | 0.2744 |
| 0.6885        | 20.1439 | 11200 | 0.2634          | 0.2743 |
| 0.683         | 20.8633 | 11600 | 0.2645          | 0.2742 |
| 0.6752        | 21.5827 | 12000 | 0.2660          | 0.2744 |
| 0.678         | 22.3022 | 12400 | 0.2592          | 0.2726 |
| 0.6502        | 23.0216 | 12800 | 0.2581          | 0.2730 |
| 0.6784        | 23.7410 | 13200 | 0.2585          | 0.2740 |
| 0.665         | 24.4604 | 13600 | 0.2580          | 0.2736 |
| 0.6681        | 25.1799 | 14000 | 0.2558          | 0.2728 |
| 0.6448        | 25.8993 | 14400 | 0.2534          | 0.2735 |
| 0.6231        | 26.6187 | 14800 | 0.2523          | 0.2728 |
| 0.6542        | 27.3381 | 15200 | 0.2540          | 0.2731 |
| 0.6349        | 28.0576 | 15600 | 0.2558          | 0.2735 |
| 0.6492        | 28.7770 | 16000 | 0.2547          | 0.2735 |
| 0.6252        | 29.4964 | 16400 | 0.2546          | 0.2734 |


### Framework versions

- Transformers 4.57.6
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2