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--- |
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license: cc-by-nc-4.0 |
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base_model: utter-project/mHuBERT-147 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_17_0 |
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metrics: |
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- wer |
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model-index: |
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- name: mHuBERT-147upper-sorbian |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: common_voice_17_0 |
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type: common_voice_17_0 |
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config: hsb |
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split: validation |
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args: hsb |
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metrics: |
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- name: Wer |
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type: wer |
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value: 1.0 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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/nkb11lep) |
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# mHuBERT-147upper-sorbian |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2170 |
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- Wer: 1.0 |
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- Cer: 1.0 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 100 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
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|:-------------:|:-------:|:----:|:---------------:|:---:|:---:| |
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| 7.2839 | 3.9216 | 100 | 7.4925 | 1.0 | 1.0 | |
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| 3.4632 | 7.8431 | 200 | 3.4671 | 1.0 | 1.0 | |
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| 3.181 | 11.7647 | 300 | 3.2306 | 1.0 | 1.0 | |
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| 3.2284 | 15.6863 | 400 | 3.2231 | 1.0 | 1.0 | |
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| 3.2113 | 19.6078 | 500 | 3.2243 | 1.0 | 1.0 | |
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| 3.1844 | 23.5294 | 600 | 3.2183 | 1.0 | 1.0 | |
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| 3.2644 | 27.4510 | 700 | 3.2180 | 1.0 | 1.0 | |
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| 3.2111 | 31.3725 | 800 | 3.2191 | 1.0 | 1.0 | |
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| 3.187 | 35.2941 | 900 | 3.2189 | 1.0 | 1.0 | |
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| 3.2133 | 39.2157 | 1000 | 3.2203 | 1.0 | 1.0 | |
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| 3.2406 | 43.1373 | 1100 | 3.2181 | 1.0 | 1.0 | |
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| 3.1993 | 47.0588 | 1200 | 3.2178 | 1.0 | 1.0 | |
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| 3.2036 | 50.9804 | 1300 | 3.2169 | 1.0 | 1.0 | |
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| 3.2283 | 54.9020 | 1400 | 3.2171 | 1.0 | 1.0 | |
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| 3.1854 | 58.8235 | 1500 | 3.2198 | 1.0 | 1.0 | |
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| 3.184 | 62.7451 | 1600 | 3.2182 | 1.0 | 1.0 | |
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| 3.2253 | 66.6667 | 1700 | 3.2194 | 1.0 | 1.0 | |
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| 3.1943 | 70.5882 | 1800 | 3.2194 | 1.0 | 1.0 | |
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| 3.201 | 74.5098 | 1900 | 3.2167 | 1.0 | 1.0 | |
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| 3.2178 | 78.4314 | 2000 | 3.2180 | 1.0 | 1.0 | |
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| 3.2252 | 82.3529 | 2100 | 3.2172 | 1.0 | 1.0 | |
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| 3.2081 | 86.2745 | 2200 | 3.2170 | 1.0 | 1.0 | |
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| 3.2125 | 90.1961 | 2300 | 3.2170 | 1.0 | 1.0 | |
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| 3.23 | 94.1176 | 2400 | 3.2170 | 1.0 | 1.0 | |
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| 3.1851 | 98.0392 | 2500 | 3.2170 | 1.0 | 1.0 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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