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End of training

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  1. README.md +73 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-base-960h
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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: model_sh_intit_model
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+ results: []
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+ ---
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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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+
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+ # model_sh_intit_model
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4880
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+ - Wer: 0.3617
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+ - Cer: 0.9396
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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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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+ - gradient_accumulation_steps: 2
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+ - total_train_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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+ - training_steps: 1000
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 0.9874 | 20.0 | 100 | 1.6657 | 0.5234 | 0.9457 |
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+ | 0.5576 | 40.0 | 200 | 1.0859 | 0.4426 | 0.9422 |
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+ | 0.399 | 60.0 | 300 | 1.2627 | 0.3957 | 0.9406 |
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+ | 0.2509 | 80.0 | 400 | 1.3391 | 0.3830 | 0.9405 |
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+ | 0.2643 | 100.0 | 500 | 1.4182 | 0.3787 | 0.9401 |
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+ | 0.1931 | 120.0 | 600 | 1.3800 | 0.3915 | 0.9403 |
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+ | 0.1553 | 140.0 | 700 | 1.4751 | 0.3957 | 0.9402 |
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+ | 0.1679 | 160.0 | 800 | 1.4633 | 0.3660 | 0.9397 |
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+ | 0.1642 | 180.0 | 900 | 1.5003 | 0.3617 | 0.9397 |
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+ | 0.1286 | 200.0 | 1000 | 1.4880 | 0.3617 | 0.9396 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.7
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+ - Tokenizers 0.14.1
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