---
license: cc-by-nc-4.0
base_model: utter-project/mHuBERT-147
tags:
- generated_from_trainer
datasets:
- common_voice_17_0
metrics:
- wer
model-index:
- name: mHuBERT-147-upper-sorbian
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_17_0
      type: common_voice_17_0
      config: hsb
      split: validation
      args: hsb
    metrics:
    - name: Wer
      type: wer
      value: 1.0
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/badr-nlp/xlsr-continual-finetuning-new/runs/41am9hha)
# mHuBERT-147-upper-sorbian

This model is a fine-tuned version of [utter-project/mHuBERT-147](https://huggingface.co/utter-project/mHuBERT-147) on the common_voice_17_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3582
- Wer: 1.0
- Cer: 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 500
- num_epochs: 100
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Wer | Cer    |
|:-------------:|:-------:|:----:|:---------------:|:---:|:------:|
| 15.5448       | 3.9216  | 100  | 16.7511         | 1.0 | 2.0768 |
| 10.1433       | 7.8431  | 200  | 10.5841         | 1.0 | 1.0    |
| 8.264         | 11.7647 | 300  | 8.8218          | 1.0 | 1.0    |
| 7.9924        | 15.6863 | 400  | 8.2091          | 1.0 | 1.0    |
| 7.1304        | 19.6078 | 500  | 7.5249          | 1.0 | 1.0    |
| 6.2453        | 23.5294 | 600  | 6.8211          | 1.0 | 1.0    |
| 6.2833        | 27.4510 | 700  | 6.1921          | 1.0 | 1.0    |
| 5.3658        | 31.3725 | 800  | 5.6396          | 1.0 | 1.0    |
| 4.8314        | 35.2941 | 900  | 5.1645          | 1.0 | 1.0    |
| 4.8285        | 39.2157 | 1000 | 4.7647          | 1.0 | 1.0    |
| 4.2474        | 43.1373 | 1100 | 4.4360          | 1.0 | 1.0    |
| 3.9898        | 47.0588 | 1200 | 4.1735          | 1.0 | 1.0    |
| 3.8997        | 50.9804 | 1300 | 3.9678          | 1.0 | 1.0    |
| 3.7723        | 54.9020 | 1400 | 3.8085          | 1.0 | 1.0    |
| 3.6148        | 58.8235 | 1500 | 3.6879          | 1.0 | 1.0    |
| 3.4969        | 62.7451 | 1600 | 3.5966          | 1.0 | 1.0    |
| 3.5233        | 66.6667 | 1700 | 3.5286          | 1.0 | 1.0    |
| 3.4324        | 70.5882 | 1800 | 3.4771          | 1.0 | 1.0    |
| 3.393         | 74.5098 | 1900 | 3.4387          | 1.0 | 1.0    |
| 3.3967        | 78.4314 | 2000 | 3.4102          | 1.0 | 1.0    |
| 3.3846        | 82.3529 | 2100 | 3.3891          | 1.0 | 1.0    |
| 3.3431        | 86.2745 | 2200 | 3.3746          | 1.0 | 1.0    |
| 3.3601        | 90.1961 | 2300 | 3.3653          | 1.0 | 1.0    |
| 3.3545        | 94.1176 | 2400 | 3.3599          | 1.0 | 1.0    |
| 3.3114        | 98.0392 | 2500 | 3.3582          | 1.0 | 1.0    |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1