---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/wav2vec2-lv-60-espeak-cv-ft
metrics:
- wer
model-index:
- name: Wav2Vec2Phoneme-CSfinetune
  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. -->

# Wav2Vec2Phoneme-CSfinetune

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: 1.7640
- Wer: 0.3064
- Cer: 0.2173

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 14
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
| 2.7571        | 2.2805  | 500  | 3.4129          | 0.4619 | 0.3238 |
| 2.0486        | 4.5610  | 1000 | 1.9384          | 0.3985 | 0.2789 |
| 1.7859        | 6.8415  | 1500 | 2.9810          | 0.3588 | 0.2583 |
| 1.505         | 9.1220  | 2000 | 2.2573          | 0.3257 | 0.2305 |
| 1.3879        | 11.4025 | 2500 | 1.7517          | 0.3109 | 0.2206 |
| 1.3334        | 13.6830 | 3000 | 1.7640          | 0.3064 | 0.2173 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0
- Datasets 2.19.2
- Tokenizers 0.19.1