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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_at0.0_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_at0.0_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: 1.0838
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- Wer: 0.1768
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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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| 16.3345 | 3.91 | 250 | 3.9551 | 1.0 |
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| 3.2558 | 7.81 | 500 | 3.1516 | 1.0 |
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| 2.9971 | 11.72 | 750 | 2.4403 | 1.0 |
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| 0.9923 | 15.62 | 1000 | 0.6040 | 0.4938 |
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| 0.2971 | 19.53 | 1250 | 0.6870 | 0.2828 |
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| 0.1765 | 23.44 | 1500 | 0.8956 | 0.2431 |
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| 0.1185 | 27.34 | 1750 | 0.9472 | 0.2029 |
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| 0.0919 | 31.25 | 2000 | 1.0306 | 0.1833 |
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| 0.0692 | 35.16 | 2250 | 0.9844 | 0.1939 |
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| 0.0577 | 39.06 | 2500 | 1.0122 | 0.1862 |
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| 0.0467 | 42.97 | 2750 | 1.0849 | 0.1734 |
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| 0.0407 | 46.88 | 3000 | 0.9989 | 0.1841 |
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| 0.0341 | 50.78 | 3250 | 1.0820 | 0.1875 |
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| 0.0299 | 54.69 | 3500 | 1.1344 | 0.1747 |
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| 0.0291 | 58.59 | 3750 | 1.0495 | 0.1845 |
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| 0.0247 | 62.5 | 4000 | 1.0838 | 0.1768 |
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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:f8a9da2ab0b86d2474e41003dca74a45dbcba1c896c1c563d5b8f4222e6e882b
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size 377629528
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