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Browse files- README.md +68 -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_lr1e-4_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_lr1e-4_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: 6.1307
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- Wer: 1.0580
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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: 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: 1000
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- num_epochs: 60
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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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| 14.7571 | 8.06 | 500 | 3.6451 | 1.0 |
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| 1.7406 | 16.13 | 1000 | 3.2148 | 1.0448 |
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| 0.2001 | 24.19 | 1500 | 4.3045 | 1.0345 |
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| 0.0734 | 32.26 | 2000 | 5.3205 | 1.0516 |
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| 0.0402 | 40.32 | 2500 | 5.5110 | 1.0477 |
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| 0.0254 | 48.39 | 3000 | 5.8453 | 1.0554 |
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| 0.0161 | 56.45 | 3500 | 6.1307 | 1.0580 |
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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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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 377709504
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version https://git-lfs.github.com/spec/v1
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oid sha256:1907a2637d2f923e8c8c7224f44191fd9e6750d0ad63d9d4f9b2b4ad2120b119
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size 377709504
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