---
license: cc-by-nc-4.0
language:
- hyw
datasets:
- mozilla-foundation/common_voice_16_1
- google/fleurs
- ReRooted
pipeline_tag: automatic-speech-recognition
tags:
  - audio-to-audio
  - text-to-speech
  - seamless_communication  
---

# SeamlessM4T v2 ASR for Western Armenian

This model is a fine-tuned version of the [facebook/seamless-m4t-v2-large](https://huggingface.co/facebook/seamless-m4t-v2-large). Initially, it was fine-tuned on the Common Voice 16.1 and Google Fleurs datasets. Subsequently, it was further fine-tuned on the [ReRooted](https://github.com/jhdeov/ReRooted-ArmenianCorpus) corpus.
The model achieves the following results on the test sets:
- CV_wer: 0.308
- CV_cer: 0.07
- GF_wer: 0.311
- GF_cer: 0.094

After fine-tuning on Western Armenian data, the model occasionally translates Eastern Armenian speech into Western Armenian.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-6
- train_batch_size: 4
- eval_batch_size: 1
- seed: 43
- optimizer: Adam with betas=(0.9, 0.98) and epsilon=1e-08
- lr_scheduler_type: MyleLR
- lr_scheduler_warmup_steps: 100

### Framework versions
- Pytorch 2.1.1
- fairseq2==0.2.0