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zacdan4801
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wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f8

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files
xet
 Metrics Community
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Files changed (6) hide show
  1. README.md +103 -0
  2. config.json +116 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +9 -0
  5. runs/Apr17_05-31-02_Lydia/events.out.tfevents.1776421900.Lydia.22384.9 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-lv-60-espeak-cv-ft
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f8
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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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+ # wav2vec2-lv-60-espeak-cv-ft-custom_vocab-OtherDiacritics-ds-f8
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2434
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+ - Per: 0.2740
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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: 3e-05
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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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 30
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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 | Per |
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+ |:-------------:|:-------:|:-----:|:---------------:|:------:|
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+ | 17.5785 | 0.7194 | 400 | 4.5448 | 1.0 |
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+ | 4.4007 | 1.4388 | 800 | 4.0888 | 1.0 |
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+ | 4.0769 | 2.1583 | 1200 | 3.6667 | 1.0 |
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+ | 3.2372 | 2.8777 | 1600 | 1.5857 | 0.4524 |
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+ | 2.0806 | 3.5971 | 2000 | 0.9008 | 0.3447 |
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+ | 1.6127 | 4.3165 | 2400 | 0.6330 | 0.3191 |
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+ | 1.359 | 5.0360 | 2800 | 0.5135 | 0.3023 |
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+ | 1.1981 | 5.7554 | 3200 | 0.4361 | 0.2918 |
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+ | 1.1204 | 6.4748 | 3600 | 0.3875 | 0.2886 |
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+ | 1.0259 | 7.1942 | 4000 | 0.3504 | 0.2833 |
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+ | 0.9781 | 7.9137 | 4400 | 0.3317 | 0.2816 |
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+ | 0.9334 | 8.6331 | 4800 | 0.3248 | 0.2799 |
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+ | 0.8832 | 9.3525 | 5200 | 0.3130 | 0.2798 |
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+ | 0.8508 | 10.0719 | 5600 | 0.3084 | 0.2792 |
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+ | 0.8421 | 10.7914 | 6000 | 0.2984 | 0.2773 |
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+ | 0.8504 | 11.5108 | 6400 | 0.2965 | 0.2782 |
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+ | 0.8313 | 12.2302 | 6800 | 0.2846 | 0.2773 |
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+ | 0.7776 | 12.9496 | 7200 | 0.2874 | 0.2784 |
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+ | 0.7721 | 13.6691 | 7600 | 0.2739 | 0.2741 |
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+ | 0.7765 | 14.3885 | 8000 | 0.2723 | 0.2763 |
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+ | 0.7507 | 15.1079 | 8400 | 0.2678 | 0.2761 |
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+ | 0.7478 | 15.8273 | 8800 | 0.2640 | 0.2744 |
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+ | 0.7392 | 16.5468 | 9200 | 0.2586 | 0.2745 |
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+ | 0.7027 | 17.2662 | 9600 | 0.2649 | 0.2767 |
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+ | 0.7084 | 17.9856 | 10000 | 0.2577 | 0.2746 |
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+ | 0.6983 | 18.7050 | 10400 | 0.2556 | 0.2753 |
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+ | 0.7041 | 19.4245 | 10800 | 0.2531 | 0.2752 |
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+ | 0.7034 | 20.1439 | 11200 | 0.2534 | 0.2753 |
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+ | 0.6869 | 20.8633 | 11600 | 0.2510 | 0.2748 |
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+ | 0.6763 | 21.5827 | 12000 | 0.2481 | 0.2762 |
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+ | 0.689 | 22.3022 | 12400 | 0.2486 | 0.2756 |
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+ | 0.6642 | 23.0216 | 12800 | 0.2476 | 0.2748 |
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+ | 0.6644 | 23.7410 | 13200 | 0.2483 | 0.2752 |
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+ | 0.6627 | 24.4604 | 13600 | 0.2437 | 0.2731 |
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+ | 0.6549 | 25.1799 | 14000 | 0.2472 | 0.2743 |
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+ | 0.6526 | 25.8993 | 14400 | 0.2456 | 0.2746 |
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+ | 0.6216 | 26.6187 | 14800 | 0.2467 | 0.2746 |
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+ | 0.6461 | 27.3381 | 15200 | 0.2449 | 0.2750 |
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+ | 0.6428 | 28.0576 | 15600 | 0.2417 | 0.2751 |
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+ | 0.6241 | 28.7770 | 16000 | 0.2433 | 0.2740 |
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+ | 0.6232 | 29.4964 | 16400 | 0.2434 | 0.2740 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.6
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+ - Pytorch 2.9.1+cu128
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+ - Datasets 4.5.0
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+ - Tokenizers 0.22.2
config.json ADDED
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 64,
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+ "xvector_output_dim": 512
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+ }
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