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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-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_V3
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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_V3
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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: 25.4595
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+ - Wer: 0.0270
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+ - Cer: 0.0107
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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: 6e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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 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_ratio: 0.1
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+ - num_epochs: 60
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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+ | 1063.7894 | 1.0 | 114 | 718.9606 | 0.5828 | 0.3216 |
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+ | 810.9251 | 2.0 | 228 | 524.2849 | 0.4911 | 0.2493 |
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+ | 680.8981 | 3.0 | 342 | 421.2985 | 0.4214 | 0.2045 |
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+ | 597.9041 | 4.0 | 456 | 366.2341 | 0.3686 | 0.1763 |
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+ | 524.5883 | 5.0 | 570 | 305.7330 | 0.3089 | 0.1497 |
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+ | 458.713 | 6.0 | 684 | 260.3347 | 0.2643 | 0.1275 |
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+ | 406.8273 | 7.0 | 798 | 227.7853 | 0.2323 | 0.1076 |
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+ | 378.9415 | 8.0 | 912 | 188.8116 | 0.1980 | 0.0934 |
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+ | 336.5126 | 9.0 | 1026 | 165.1948 | 0.1691 | 0.0801 |
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+ | 310.3794 | 10.0 | 1140 | 143.5318 | 0.1568 | 0.0721 |
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+ | 285.877 | 11.0 | 1254 | 136.2682 | 0.1448 | 0.0670 |
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+ | 274.0296 | 12.0 | 1368 | 122.3905 | 0.1298 | 0.0585 |
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+ | 265.1471 | 13.0 | 1482 | 116.0494 | 0.1148 | 0.0531 |
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+ | 221.5662 | 14.0 | 1596 | 105.7465 | 0.1075 | 0.0489 |
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+ | 225.1541 | 15.0 | 1710 | 99.3887 | 0.1063 | 0.0477 |
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+ | 201.7688 | 16.0 | 1824 | 91.4716 | 0.1017 | 0.0435 |
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+ | 198.1517 | 17.0 | 1938 | 88.0316 | 0.0921 | 0.0405 |
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+ | 182.0429 | 18.0 | 2052 | 86.2570 | 0.0898 | 0.0384 |
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+ | 180.9772 | 19.0 | 2166 | 84.9040 | 0.0882 | 0.0399 |
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+ | 176.9504 | 20.0 | 2280 | 70.6380 | 0.0743 | 0.0325 |
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+ | 163.9662 | 21.0 | 2394 | 104.9963 | 0.0832 | 0.0426 |
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+ | 165.1209 | 22.0 | 2508 | 64.8720 | 0.0747 | 0.0310 |
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+ | 149.6314 | 23.0 | 2622 | 60.0919 | 0.0678 | 0.0288 |
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+ | 156.3655 | 24.0 | 2736 | 63.2843 | 0.0643 | 0.0277 |
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+ | 147.9974 | 25.0 | 2850 | 56.2312 | 0.0559 | 0.0246 |
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+ | 132.3355 | 26.0 | 2964 | 58.3237 | 0.0535 | 0.0247 |
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+ | 142.3996 | 27.0 | 3078 | 49.5403 | 0.0570 | 0.0221 |
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+ | 124.0104 | 28.0 | 3192 | 45.3949 | 0.0505 | 0.0197 |
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+ | 116.5822 | 29.0 | 3306 | 54.1334 | 0.0559 | 0.0225 |
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+ | 119.3177 | 30.0 | 3420 | 45.9107 | 0.0489 | 0.0194 |
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+ | 123.8109 | 31.0 | 3534 | 41.0828 | 0.0466 | 0.0179 |
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+ | 118.6089 | 32.0 | 3648 | 41.0715 | 0.0447 | 0.0176 |
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+ | 107.6029 | 33.0 | 3762 | 52.8643 | 0.0555 | 0.0217 |
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+ | 113.0274 | 34.0 | 3876 | 36.1530 | 0.0458 | 0.0173 |
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+ | 95.9924 | 35.0 | 3990 | 33.4645 | 0.0435 | 0.0158 |
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+ | 102.7349 | 36.0 | 4104 | 36.7720 | 0.0455 | 0.0175 |
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+ | 103.0268 | 37.0 | 4218 | 36.8673 | 0.0381 | 0.0163 |
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+ | 96.3656 | 38.0 | 4332 | 35.1068 | 0.0420 | 0.0158 |
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+ | 96.9253 | 39.0 | 4446 | 35.4023 | 0.0408 | 0.0164 |
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+ | 95.3507 | 40.0 | 4560 | 31.9771 | 0.0378 | 0.0155 |
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+ | 100.4609 | 41.0 | 4674 | 28.5974 | 0.0354 | 0.0134 |
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+ | 95.2469 | 42.0 | 4788 | 35.2287 | 0.0401 | 0.0155 |
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+ | 95.7411 | 43.0 | 4902 | 41.8120 | 0.0416 | 0.0176 |
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+ | 87.7424 | 44.0 | 5016 | 27.3256 | 0.0320 | 0.0115 |
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+ | 85.4531 | 45.0 | 5130 | 30.2653 | 0.0324 | 0.0127 |
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+ | 84.8334 | 46.0 | 5244 | 29.6504 | 0.0335 | 0.0131 |
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+ | 82.7842 | 47.0 | 5358 | 32.6864 | 0.0370 | 0.0150 |
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+ | 80.188 | 48.0 | 5472 | 33.7373 | 0.0335 | 0.0145 |
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+ | 88.2538 | 49.0 | 5586 | 32.3133 | 0.0343 | 0.0143 |
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+ | 82.6046 | 50.0 | 5700 | 32.1506 | 0.0331 | 0.0134 |
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+ | 89.6107 | 51.0 | 5814 | 30.5849 | 0.0331 | 0.0140 |
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+ | 73.281 | 52.0 | 5928 | 25.5599 | 0.0312 | 0.0120 |
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+ | 74.4069 | 53.0 | 6042 | 24.4939 | 0.0277 | 0.0106 |
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+ | 72.1636 | 54.0 | 6156 | 24.1323 | 0.0285 | 0.0105 |
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+ | 69.7004 | 55.0 | 6270 | 24.2016 | 0.0277 | 0.0105 |
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+ | 83.1168 | 56.0 | 6384 | 24.9745 | 0.0300 | 0.0113 |
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+ | 80.7796 | 57.0 | 6498 | 23.8529 | 0.0262 | 0.0103 |
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+ | 80.1099 | 58.0 | 6612 | 28.6379 | 0.0300 | 0.0121 |
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+ | 88.7483 | 59.0 | 6726 | 25.5322 | 0.0293 | 0.0110 |
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+ | 76.292 | 60.0 | 6840 | 25.4595 | 0.0270 | 0.0107 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.3
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.6.0
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+ - Tokenizers 0.22.1
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