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---
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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# 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: 3.2172
- 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: 0.001
- 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
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-------:|:----:|:---------------:|:---:|:---:|
| 3.8611 | 3.9216 | 100 | 3.8610 | 1.0 | 1.0 |
| 3.2233 | 7.8431 | 200 | 3.2270 | 1.0 | 1.0 |
| 3.1742 | 11.7647 | 300 | 3.2232 | 1.0 | 1.0 |
| 3.2292 | 15.6863 | 400 | 3.2238 | 1.0 | 1.0 |
| 3.2105 | 19.6078 | 500 | 3.2270 | 1.0 | 1.0 |
| 3.191 | 23.5294 | 600 | 3.2201 | 1.0 | 1.0 |
| 3.2626 | 27.4510 | 700 | 3.2177 | 1.0 | 1.0 |
| 3.21 | 31.3725 | 800 | 3.2230 | 1.0 | 1.0 |
| 3.1871 | 35.2941 | 900 | 3.2211 | 1.0 | 1.0 |
| 3.2221 | 39.2157 | 1000 | 3.2245 | 1.0 | 1.0 |
| 3.2408 | 43.1373 | 1100 | 3.2217 | 1.0 | 1.0 |
| 3.2 | 47.0588 | 1200 | 3.2193 | 1.0 | 1.0 |
| 3.202 | 50.9804 | 1300 | 3.2181 | 1.0 | 1.0 |
| 3.2286 | 54.9020 | 1400 | 3.2190 | 1.0 | 1.0 |
| 3.1863 | 58.8235 | 1500 | 3.2187 | 1.0 | 1.0 |
| 3.1868 | 62.7451 | 1600 | 3.2175 | 1.0 | 1.0 |
| 3.226 | 66.6667 | 1700 | 3.2199 | 1.0 | 1.0 |
| 3.1944 | 70.5882 | 1800 | 3.2196 | 1.0 | 1.0 |
| 3.1997 | 74.5098 | 1900 | 3.2180 | 1.0 | 1.0 |
| 3.2184 | 78.4314 | 2000 | 3.2200 | 1.0 | 1.0 |
| 3.2252 | 82.3529 | 2100 | 3.2188 | 1.0 | 1.0 |
| 3.208 | 86.2745 | 2200 | 3.2175 | 1.0 | 1.0 |
| 3.2122 | 90.1961 | 2300 | 3.2170 | 1.0 | 1.0 |
| 3.2307 | 94.1176 | 2400 | 3.2169 | 1.0 | 1.0 |
| 3.1852 | 98.0392 | 2500 | 3.2172 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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