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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-large-ls960-ft |
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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: mascir_fr_hubert_test |
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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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# mascir_fr_hubert_test |
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This model is a fine-tuned version of [facebook/hubert-large-ls960-ft](https://huggingface.co./facebook/hubert-large-ls960-ft) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0113 |
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- Wer: 0.1680 |
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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: 0.0001 |
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- train_batch_size: 8 |
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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: 1000 |
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- num_epochs: 100 |
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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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| No log | 8.06 | 250 | 3.0885 | 0.9919 | |
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| 5.8634 | 16.13 | 500 | 2.8476 | 0.9919 | |
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| 5.8634 | 24.19 | 750 | 1.1091 | 0.9461 | |
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| 1.7302 | 32.26 | 1000 | 0.4035 | 0.6076 | |
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| 1.7302 | 40.32 | 1250 | 0.1643 | 0.3980 | |
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| 0.5446 | 48.39 | 1500 | 0.0872 | 0.2784 | |
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| 0.5446 | 56.45 | 1750 | 0.0464 | 0.2257 | |
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| 0.3144 | 64.52 | 2000 | 0.0311 | 0.2021 | |
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| 0.3144 | 72.58 | 2250 | 0.0213 | 0.1891 | |
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| 0.2224 | 80.65 | 2500 | 0.0155 | 0.1816 | |
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| 0.2224 | 88.71 | 2750 | 0.0132 | 0.1699 | |
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| 0.1871 | 96.77 | 3000 | 0.0113 | 0.1680 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.0 |
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- Tokenizers 0.13.3 |
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