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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: Helldivers2ASR_V2
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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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+ # Helldivers2ASR_V2
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 600.7576
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+ - Wer: 0.1781
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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: 5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: cosine
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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 | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1606.3359 | 1.0 | 220 | 1090.8248 | 0.5061 |
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+ | 1121.8479 | 2.0 | 440 | 865.5970 | 0.4061 |
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+ | 946.2823 | 3.0 | 660 | 820.0260 | 0.3625 |
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+ | 783.6905 | 4.0 | 880 | 707.9121 | 0.3211 |
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+ | 695.3827 | 5.0 | 1100 | 838.1756 | 0.3111 |
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+ | 622.7798 | 6.0 | 1320 | 742.3585 | 0.2847 |
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+ | 553.7608 | 7.0 | 1540 | 716.7022 | 0.2676 |
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+ | 491.1993 | 8.0 | 1760 | 761.7335 | 0.2603 |
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+ | 473.3195 | 9.0 | 1980 | 567.7379 | 0.2178 |
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+ | 437.2569 | 10.0 | 2200 | 702.8529 | 0.2387 |
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+ | 399.1445 | 11.0 | 2420 | 606.8059 | 0.2159 |
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+ | 365.5832 | 12.0 | 2640 | 668.2637 | 0.2218 |
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+ | 352.0708 | 13.0 | 2860 | 618.1540 | 0.2013 |
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+ | 345.8254 | 14.0 | 3080 | 605.1513 | 0.2025 |
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+ | 301.8691 | 15.0 | 3300 | 534.0126 | 0.1824 |
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+ | 306.2117 | 16.0 | 3520 | 525.6846 | 0.1769 |
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+ | 276.5106 | 17.0 | 3740 | 588.5739 | 0.1812 |
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+ | 278.9943 | 18.0 | 3960 | 586.8976 | 0.1856 |
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+ | 254.1533 | 19.0 | 4180 | 565.0082 | 0.1785 |
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+ | 264.3702 | 20.0 | 4400 | 636.0349 | 0.1922 |
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+ | 246.2727 | 21.0 | 4620 | 574.8817 | 0.1783 |
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+ | 237.4068 | 22.0 | 4840 | 525.9941 | 0.1700 |
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+ | 229.2964 | 23.0 | 5060 | 583.3613 | 0.1751 |
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+ | 228.483 | 24.0 | 5280 | 625.8549 | 0.1804 |
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+ | 225.443 | 25.0 | 5500 | 592.6890 | 0.1779 |
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+ | 223.0987 | 26.0 | 5720 | 610.0046 | 0.1781 |
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+ | 211.6382 | 27.0 | 5940 | 600.6169 | 0.1783 |
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+ | 215.4619 | 28.0 | 6160 | 598.9771 | 0.1787 |
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+ | 220.9056 | 29.0 | 6380 | 600.8087 | 0.1783 |
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+ | 222.1433 | 30.0 | 6600 | 600.7576 | 0.1781 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.6.0
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+ - Tokenizers 0.19.1
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