---
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-f3
  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-f3

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: 0.2725
- Per: 0.2806

## 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    |
|:-------------:|:-------:|:-----:|:---------------:|:------:|
| 17.7086       | 0.7194  | 400   | 4.5721          | 0.9888 |
| 4.3976        | 1.4388  | 800   | 4.0921          | 0.9888 |
| 4.0518        | 2.1583  | 1200  | 3.5720          | 0.9888 |
| 3.1677        | 2.8777  | 1600  | 1.4785          | 0.4295 |
| 2.0338        | 3.5971  | 2000  | 0.8687          | 0.3483 |
| 1.5881        | 4.3165  | 2400  | 0.6268          | 0.3161 |
| 1.3712        | 5.0360  | 2800  | 0.5133          | 0.3033 |
| 1.2124        | 5.7554  | 3200  | 0.4322          | 0.2952 |
| 1.126         | 6.4748  | 3600  | 0.3897          | 0.2912 |
| 1.0368        | 7.1942  | 4000  | 0.3668          | 0.2898 |
| 0.9932        | 7.9137  | 4400  | 0.3369          | 0.2865 |
| 0.9417        | 8.6331  | 4800  | 0.3338          | 0.2866 |
| 0.8739        | 9.3525  | 5200  | 0.3261          | 0.2848 |
| 0.8668        | 10.0719 | 5600  | 0.3172          | 0.2858 |
| 0.8523        | 10.7914 | 6000  | 0.3189          | 0.2857 |
| 0.8602        | 11.5108 | 6400  | 0.3075          | 0.2850 |
| 0.811         | 12.2302 | 6800  | 0.2993          | 0.2833 |
| 0.7986        | 12.9496 | 7200  | 0.2959          | 0.2836 |
| 0.7744        | 13.6691 | 7600  | 0.2946          | 0.2816 |
| 0.7686        | 14.3885 | 8000  | 0.2959          | 0.2837 |
| 0.7379        | 15.1079 | 8400  | 0.2926          | 0.2814 |
| 0.7554        | 15.8273 | 8800  | 0.2890          | 0.2817 |
| 0.7386        | 16.5468 | 9200  | 0.2876          | 0.2799 |
| 0.7128        | 17.2662 | 9600  | 0.2861          | 0.2821 |
| 0.7063        | 17.9856 | 10000 | 0.2870          | 0.2826 |
| 0.704         | 18.7050 | 10400 | 0.2822          | 0.2806 |
| 0.6876        | 19.4245 | 10800 | 0.2904          | 0.2831 |
| 0.6898        | 20.1439 | 11200 | 0.2781          | 0.2830 |
| 0.694         | 20.8633 | 11600 | 0.2814          | 0.2818 |
| 0.683         | 21.5827 | 12000 | 0.2783          | 0.2803 |
| 0.6871        | 22.3022 | 12400 | 0.2774          | 0.2805 |
| 0.6708        | 23.0216 | 12800 | 0.2794          | 0.2795 |
| 0.6641        | 23.7410 | 13200 | 0.2759          | 0.2808 |
| 0.6655        | 24.4604 | 13600 | 0.2729          | 0.2808 |
| 0.6626        | 25.1799 | 14000 | 0.2753          | 0.2812 |
| 0.6481        | 25.8993 | 14400 | 0.2756          | 0.2802 |
| 0.6404        | 26.6187 | 14800 | 0.2749          | 0.2816 |
| 0.6579        | 27.3381 | 15200 | 0.2733          | 0.2805 |
| 0.6352        | 28.0576 | 15600 | 0.2731          | 0.2804 |
| 0.6517        | 28.7770 | 16000 | 0.2729          | 0.2810 |
| 0.6495        | 29.4964 | 16400 | 0.2725          | 0.2806 |


### Framework versions

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