---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec-large-zh
  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. -->

# wav2vec-large-zh

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 14.5731
- Wer: 1.0

## 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: 5e-06
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer |
|:-------------:|:------:|:----:|:---------------:|:---:|
| 121.3961      | 0.1039 | 100  | 124.9288        | 1.0 |
| 123.4081      | 0.2078 | 200  | 123.6992        | 1.0 |
| 107.9594      | 0.3117 | 300  | 93.1991         | 1.0 |
| 88.687        | 0.4156 | 400  | 74.7901         | 1.0 |
| 76.5985       | 0.5195 | 500  | 65.0490         | 1.0 |
| 67.3284       | 0.6234 | 600  | 59.1068         | 1.0 |
| 60.559        | 0.7273 | 700  | 54.5696         | 1.0 |
| 57.6745       | 0.8312 | 800  | 50.8430         | 1.0 |
| 52.8858       | 0.9351 | 900  | 47.6484         | 1.0 |
| 47.363        | 1.0390 | 1000 | 44.8001         | 1.0 |
| 47.1688       | 1.1429 | 1100 | 42.1867         | 1.0 |
| 44.9003       | 1.2468 | 1200 | 39.8359         | 1.0 |
| 41.8644       | 1.3506 | 1300 | 37.6657         | 1.0 |
| 39.7981       | 1.4545 | 1400 | 35.5738         | 1.0 |
| 36.9159       | 1.5584 | 1500 | 33.6546         | 1.0 |
| 34.9118       | 1.6623 | 1600 | 31.8388         | 1.0 |
| 33.5765       | 1.7662 | 1700 | 30.1401         | 1.0 |
| 31.0713       | 1.8701 | 1800 | 28.5309         | 1.0 |
| 30.3748       | 1.9740 | 1900 | 27.0503         | 1.0 |
| 29.2488       | 2.0779 | 2000 | 25.6837         | 1.0 |
| 26.2383       | 2.1818 | 2100 | 24.4220         | 1.0 |
| 25.098        | 2.2857 | 2200 | 23.2505         | 1.0 |
| 25.1944       | 2.3896 | 2300 | 22.1770         | 1.0 |
| 24.8906       | 2.4935 | 2400 | 21.2028         | 1.0 |
| 22.4045       | 2.5974 | 2500 | 20.3080         | 1.0 |
| 20.9461       | 2.7013 | 2600 | 19.4800         | 1.0 |
| 20.5321       | 2.8052 | 2700 | 18.7341         | 1.0 |
| 19.8295       | 2.9091 | 2800 | 18.0642         | 1.0 |
| 19.3534       | 3.0130 | 2900 | 17.4707         | 1.0 |
| 18.5557       | 3.1169 | 3000 | 16.9370         | 1.0 |
| 18.1417       | 3.2208 | 3100 | 16.4655         | 1.0 |
| 17.497        | 3.3247 | 3200 | 16.0514         | 1.0 |
| 16.9942       | 3.4286 | 3300 | 15.6962         | 1.0 |
| 17.0943       | 3.5325 | 3400 | 15.3935         | 1.0 |
| 16.4386       | 3.6364 | 3500 | 15.1432         | 1.0 |
| 15.6441       | 3.7403 | 3600 | 14.9392         | 1.0 |
| 16.0257       | 3.8442 | 3700 | 14.7813         | 1.0 |
| 15.725        | 3.9481 | 3800 | 14.6680         | 1.0 |
| 16.0983       | 4.0519 | 3900 | 14.5990         | 1.0 |
| 15.3737       | 4.1558 | 4000 | 14.5731         | 1.0 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1