File size: 1,253 Bytes
701db73 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 |
---
license: cc-by-nc-4.0
language: shn
tags:
- generated_from_trainer
base_model: facebook/mms-1b-all
metrics:
- wer
model-index:
- name: wav2vec2-large-mms-1b-shan
results: []
datasets:
- NorHsangPha/Shan-ASR-Nova
pipeline_tag: automatic-speech-recognition
---
# wav2vec2-large-mms-1b-shan
This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on [NorHsangPha/Shan-ASR-Nova](https://huggingface.co/datasets/NorHsangPha/Shan-ASR-Nova) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3066
- Wer: 1.0
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.4342 | 10.0 | 100 | 0.3066 | 1.0 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |