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  1. README.md +69 -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: DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7
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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: config-2
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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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+ # config-2
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+
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+ This model is a fine-tuned version of [DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7](https://huggingface.co/DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0612
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+ - Wer: 0.9701
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+ - Cer: 0.6014
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+ - Mer: 0.9671
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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: 0.0005
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+ - train_batch_size: 16
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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: 32
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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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+ - num_epochs: 40
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+ - mixed_precision_training: Native AMP
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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 | Mer |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
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+ | 7.1407 | 1.0050 | 100 | 3.4310 | 0.9999 | 0.9815 | 0.9999 |
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+ | 3.3804 | 2.0101 | 200 | 3.3707 | 1.0 | 0.9582 | 1.0 |
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+ | 3.3051 | 3.0151 | 300 | 3.2022 | 1.0 | 0.9539 | 1.0 |
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+ | 2.6907 | 4.0201 | 400 | 2.0612 | 0.9701 | 0.6014 | 0.9671 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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