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Browse files- README.md +77 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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: w2v2-base-pretrained_lr5e-5_at0.4_da1
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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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# w2v2-base-pretrained_lr5e-5_at0.4_da1
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4243
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- Wer: 0.2593
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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: 5e-05
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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: 500
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- training_steps: 4000
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 17.3727 | 4.03 | 250 | 8.4434 | 1.0 |
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| 4.5158 | 8.06 | 500 | 5.6577 | 1.0 |
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| 3.3968 | 12.1 | 750 | 5.5711 | 1.0 |
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| 3.4087 | 16.13 | 1000 | 4.7248 | 1.0 |
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| 3.2781 | 20.16 | 1250 | 4.1466 | 1.0004 |
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| 3.0895 | 24.19 | 1500 | 4.0231 | 1.0004 |
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| 2.7559 | 28.23 | 1750 | 2.6579 | 0.9735 |
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| 1.8327 | 32.26 | 2000 | 1.5957 | 0.8979 |
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| 0.7991 | 36.29 | 2250 | 1.1338 | 0.5656 |
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| 0.4226 | 40.32 | 2500 | 1.1239 | 0.4088 |
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| 0.2746 | 44.35 | 2750 | 1.2772 | 0.3430 |
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| 0.1934 | 48.39 | 3000 | 1.2697 | 0.3187 |
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| 0.1437 | 52.42 | 3250 | 1.3526 | 0.3033 |
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| 0.1151 | 56.45 | 3500 | 1.3560 | 0.2777 |
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| 0.0975 | 60.48 | 3750 | 1.3470 | 0.2606 |
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| 0.0885 | 64.52 | 4000 | 1.4243 | 0.2593 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 377629528
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version https://git-lfs.github.com/spec/v1
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oid sha256:83e286f9e10ea5f98d37e66c11960825c5c3b5ff0947ba6c28ca44bc659d7feb
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size 377629528
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