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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-large-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_V5
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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_V5
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-large-960h](https://huggingface.co/facebook/wav2vec2-large-960h) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 297.9317
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+ - Wer: 0.3294
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+ - Cer: 0.1602
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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: 7e-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: 4
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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: cosine
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 50
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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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+ | 462.6882 | 1.0 | 510 | 344.5970 | 0.4610 | 0.2309 |
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+ | 362.2724 | 2.0 | 1020 | 296.6635 | 0.4070 | 0.2075 |
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+ | 315.8042 | 3.0 | 1530 | 275.4880 | 0.3980 | 0.1941 |
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+ | 282.2233 | 4.0 | 2040 | 244.6664 | 0.3790 | 0.1821 |
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+ | 258.098 | 5.0 | 2550 | 237.4571 | 0.3485 | 0.1716 |
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+ | 239.4842 | 6.0 | 3060 | 233.8290 | 0.3495 | 0.1669 |
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+ | 224.3915 | 7.0 | 3570 | 250.8993 | 0.3398 | 0.1648 |
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+ | 209.738 | 8.0 | 4080 | 230.4935 | 0.3306 | 0.1619 |
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+ | 198.5307 | 9.0 | 4590 | 240.8248 | 0.3237 | 0.1584 |
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+ | 185.1102 | 10.0 | 5100 | 236.7069 | 0.3212 | 0.1565 |
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+ | 175.6033 | 11.0 | 5610 | 235.4940 | 0.3229 | 0.1576 |
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+ | 165.3067 | 12.0 | 6120 | 244.4790 | 0.3257 | 0.1572 |
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+ | 155.9264 | 13.0 | 6630 | 240.0126 | 0.3272 | 0.1572 |
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+ | 149.6907 | 14.0 | 7140 | 255.7472 | 0.3218 | 0.1572 |
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+ | 140.2203 | 15.0 | 7650 | 254.3143 | 0.3297 | 0.1575 |
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+ | 135.4905 | 16.0 | 8160 | 251.0496 | 0.3249 | 0.1555 |
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+ | 127.9138 | 17.0 | 8670 | 251.7713 | 0.3166 | 0.1537 |
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+ | 122.4403 | 18.0 | 9180 | 249.0815 | 0.3217 | 0.1562 |
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+ | 116.9182 | 19.0 | 9690 | 255.4340 | 0.3245 | 0.1549 |
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+ | 112.3006 | 20.0 | 10200 | 258.1701 | 0.3288 | 0.1577 |
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+ | 107.9413 | 21.0 | 10710 | 266.8587 | 0.3271 | 0.1592 |
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+ | 104.409 | 22.0 | 11220 | 270.4631 | 0.3315 | 0.1580 |
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+ | 100.6648 | 23.0 | 11730 | 277.8313 | 0.3373 | 0.1602 |
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+ | 96.5402 | 24.0 | 12240 | 264.8732 | 0.3290 | 0.1567 |
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+ | 92.6933 | 25.0 | 12750 | 277.2248 | 0.3331 | 0.1603 |
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+ | 89.6166 | 26.0 | 13260 | 276.5128 | 0.3298 | 0.1583 |
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+ | 88.5449 | 27.0 | 13770 | 275.0455 | 0.3276 | 0.1557 |
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+ | 86.5652 | 28.0 | 14280 | 282.4394 | 0.3239 | 0.1569 |
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+ | 84.407 | 29.0 | 14790 | 284.3981 | 0.3263 | 0.1583 |
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+ | 81.4084 | 30.0 | 15300 | 285.0651 | 0.3304 | 0.1594 |
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+ | 78.9513 | 31.0 | 15810 | 289.1231 | 0.3274 | 0.1583 |
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+ | 77.8021 | 32.0 | 16320 | 282.9202 | 0.3327 | 0.1619 |
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+ | 76.3021 | 33.0 | 16830 | 290.6485 | 0.3278 | 0.1608 |
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+ | 73.3693 | 34.0 | 17340 | 291.9531 | 0.3329 | 0.1611 |
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+ | 73.2556 | 35.0 | 17850 | 288.5987 | 0.3267 | 0.1606 |
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+ | 70.036 | 36.0 | 18360 | 283.9933 | 0.3256 | 0.1588 |
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+ | 70.3601 | 37.0 | 18870 | 298.8391 | 0.3289 | 0.1598 |
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+ | 70.4905 | 38.0 | 19380 | 299.1319 | 0.3297 | 0.1587 |
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+ | 69.1989 | 39.0 | 19890 | 295.0404 | 0.3329 | 0.1607 |
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+ | 68.393 | 40.0 | 20400 | 293.8006 | 0.3320 | 0.1601 |
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+ | 65.682 | 41.0 | 20910 | 296.3048 | 0.3311 | 0.1592 |
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+ | 66.4088 | 42.0 | 21420 | 293.5957 | 0.3309 | 0.1606 |
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+ | 65.2298 | 43.0 | 21930 | 299.2396 | 0.3302 | 0.1600 |
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+ | 64.245 | 44.0 | 22440 | 295.2800 | 0.3291 | 0.1593 |
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+ | 65.9184 | 45.0 | 22950 | 297.8622 | 0.3298 | 0.1603 |
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+ | 64.5982 | 46.0 | 23460 | 297.0223 | 0.3291 | 0.1597 |
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+ | 64.105 | 47.0 | 23970 | 297.7955 | 0.3289 | 0.1597 |
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+ | 63.6948 | 48.0 | 24480 | 298.1255 | 0.3289 | 0.1599 |
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+ | 64.6734 | 49.0 | 24990 | 297.8814 | 0.3292 | 0.1601 |
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+ | 64.8948 | 50.0 | 25500 | 297.9317 | 0.3294 | 0.1602 |
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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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