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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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- accuracy |
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model-index: |
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- name: wav2vec2-large-mms-1b-tira-lid |
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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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# wav2vec2-large-mms-1b-tira-lid |
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This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0026 |
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- Accuracy: 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: 0.001 |
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- train_batch_size: 1 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 2 |
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- total_eval_batch_size: 16 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.3168 | 0.42 | 100 | 0.2023 | 0.9167 | |
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| 0.3278 | 0.84 | 200 | 0.1465 | 0.9667 | |
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| 0.2725 | 1.26 | 300 | 0.6432 | 0.8 | |
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| 0.1371 | 1.67 | 400 | 0.0144 | 1.0 | |
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| 0.094 | 2.09 | 500 | 0.0015 | 1.0 | |
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| 0.0654 | 2.51 | 600 | 0.0978 | 0.9667 | |
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| 0.1813 | 2.93 | 700 | 0.1174 | 0.9833 | |
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| 0.032 | 3.35 | 800 | 0.0019 | 1.0 | |
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| 0.0422 | 3.77 | 900 | 0.0026 | 1.0 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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