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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/mms-1b-all |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: shqip-mms-3 |
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results: [] |
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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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# shqip-mms-3 |
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4195 |
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- Wer: 0.3447 |
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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: 0.001 |
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- train_batch_size: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 100 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.5717 | 0.31 | 300 | 0.9548 | 0.7373 | |
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| 0.7823 | 0.63 | 600 | 0.7372 | 0.5886 | |
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| 0.6863 | 0.94 | 900 | 0.6122 | 0.5261 | |
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| 0.5908 | 1.25 | 1200 | 0.5215 | 0.4440 | |
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| 0.5237 | 1.57 | 1500 | 0.4693 | 0.3987 | |
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| 0.4662 | 1.88 | 1800 | 0.4195 | 0.3447 | |
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### Framework versions |
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- Transformers 4.32.0.dev0 |
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- Pytorch 2.1.0.dev20230810 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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