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Helldivers2ASR_V4

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wav2vec2
Generated from Trainer
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  1. README.md +64 -34
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 103.9572
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- - Wer: 0.1109
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  ## Model description
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@@ -37,50 +37,80 @@ More information needed
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  ### Training hyperparameters
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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: 16
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  - eval_batch_size: 16
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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: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 30
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 1110.2937 | 1.0 | 488 | 798.5612 | 0.6094 |
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- | 872.6142 | 2.0 | 976 | 644.4997 | 0.5275 |
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- | 748.6137 | 3.0 | 1464 | 567.8405 | 0.4740 |
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- | 656.3362 | 4.0 | 1952 | 521.2706 | 0.4084 |
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- | 586.6886 | 5.0 | 2440 | 384.2380 | 0.3523 |
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- | 527.1101 | 6.0 | 2928 | 359.2795 | 0.3276 |
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- | 482.441 | 7.0 | 3416 | 340.2037 | 0.2877 |
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- | 449.7326 | 8.0 | 3904 | 321.2819 | 0.2804 |
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- | 414.3373 | 9.0 | 4392 | 283.5350 | 0.2464 |
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- | 388.4806 | 10.0 | 4880 | 232.1919 | 0.2322 |
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- | 353.5541 | 11.0 | 5368 | 231.7585 | 0.2203 |
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- | 336.3599 | 12.0 | 5856 | 223.0914 | 0.2059 |
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- | 308.4163 | 13.0 | 6344 | 192.1331 | 0.1808 |
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- | 294.2416 | 14.0 | 6832 | 171.5126 | 0.1755 |
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- | 285.5686 | 15.0 | 7320 | 179.4413 | 0.1693 |
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- | 262.8742 | 16.0 | 7808 | 160.9288 | 0.1621 |
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- | 249.4716 | 17.0 | 8296 | 153.5433 | 0.1533 |
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- | 242.8608 | 18.0 | 8784 | 140.9700 | 0.1475 |
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- | 225.0344 | 19.0 | 9272 | 136.3707 | 0.1406 |
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- | 224.6627 | 20.0 | 9760 | 135.5559 | 0.1316 |
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- | 212.3516 | 21.0 | 10248 | 129.7029 | 0.1324 |
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- | 204.9112 | 22.0 | 10736 | 125.1028 | 0.1291 |
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- | 192.82 | 23.0 | 11224 | 117.4351 | 0.1251 |
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- | 187.7432 | 24.0 | 11712 | 113.0604 | 0.1165 |
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- | 178.6721 | 25.0 | 12200 | 108.2998 | 0.1143 |
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- | 175.2548 | 26.0 | 12688 | 111.3398 | 0.1134 |
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- | 173.7431 | 27.0 | 13176 | 106.5738 | 0.1123 |
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- | 169.3344 | 28.0 | 13664 | 106.4765 | 0.1127 |
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- | 161.1687 | 29.0 | 14152 | 102.0833 | 0.1122 |
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- | 162.3253 | 30.0 | 14640 | 103.9572 | 0.1109 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 32.5406
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+ - Wer: 0.0515
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 8e-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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  - 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_ratio: 0.1
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+ - num_epochs: 60
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 1153.3836 | 1.0 | 488 | 850.3044 | 0.6449 |
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+ | 928.434 | 2.0 | 976 | 691.6172 | 0.5685 |
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+ | 811.1838 | 3.0 | 1464 | 598.8566 | 0.4987 |
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+ | 717.7333 | 4.0 | 1952 | 552.0085 | 0.4545 |
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+ | 647.3931 | 5.0 | 2440 | 463.2961 | 0.3979 |
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+ | 586.5474 | 6.0 | 2928 | 417.2820 | 0.3674 |
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+ | 533.4568 | 7.0 | 3416 | 398.9988 | 0.3179 |
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+ | 488.8762 | 8.0 | 3904 | 369.4180 | 0.3068 |
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+ | 444.0211 | 9.0 | 4392 | 301.7917 | 0.2615 |
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+ | 413.0845 | 10.0 | 4880 | 251.3396 | 0.2400 |
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+ | 372.2671 | 11.0 | 5368 | 249.1012 | 0.2238 |
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+ | 347.6574 | 12.0 | 5856 | 230.7993 | 0.1970 |
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+ | 314.716 | 13.0 | 6344 | 217.9398 | 0.1959 |
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+ | 298.8911 | 14.0 | 6832 | 189.8561 | 0.1857 |
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+ | 283.848 | 15.0 | 7320 | 191.2605 | 0.1741 |
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+ | 258.3081 | 16.0 | 7808 | 143.3509 | 0.1580 |
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+ | 243.6687 | 17.0 | 8296 | 145.5848 | 0.1499 |
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+ | 233.2926 | 18.0 | 8784 | 140.6835 | 0.1495 |
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+ | 211.4206 | 19.0 | 9272 | 124.2010 | 0.1386 |
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+ | 208.7865 | 20.0 | 9760 | 118.0089 | 0.1269 |
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+ | 195.4273 | 21.0 | 10248 | 117.8243 | 0.1262 |
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+ | 184.6244 | 22.0 | 10736 | 97.7215 | 0.1164 |
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+ | 171.8441 | 23.0 | 11224 | 111.4605 | 0.1131 |
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+ | 163.1848 | 24.0 | 11712 | 89.1710 | 0.1134 |
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+ | 153.9752 | 25.0 | 12200 | 87.3499 | 0.1047 |
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+ | 147.2633 | 26.0 | 12688 | 87.4700 | 0.1082 |
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+ | 142.8953 | 27.0 | 13176 | 83.6597 | 0.1020 |
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+ | 136.2411 | 28.0 | 13664 | 82.2492 | 0.0981 |
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+ | 125.4659 | 29.0 | 14152 | 80.2814 | 0.0996 |
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+ | 123.5863 | 30.0 | 14640 | 72.3761 | 0.0878 |
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+ | 123.4564 | 31.0 | 15128 | 74.1428 | 0.0898 |
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+ | 119.1795 | 32.0 | 15616 | 60.4706 | 0.0805 |
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+ | 106.3762 | 33.0 | 16104 | 70.6227 | 0.0834 |
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+ | 108.1521 | 34.0 | 16592 | 59.9063 | 0.0785 |
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+ | 102.576 | 35.0 | 17080 | 56.8914 | 0.0781 |
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+ | 94.8957 | 36.0 | 17568 | 58.9398 | 0.0785 |
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+ | 96.225 | 37.0 | 18056 | 55.8423 | 0.0777 |
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+ | 91.3152 | 38.0 | 18544 | 55.6489 | 0.0747 |
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+ | 94.8994 | 39.0 | 19032 | 55.0808 | 0.0701 |
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+ | 86.3052 | 40.0 | 19520 | 51.2320 | 0.0716 |
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+ | 81.8472 | 41.0 | 20008 | 47.2280 | 0.0641 |
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+ | 84.5362 | 42.0 | 20496 | 48.6431 | 0.0654 |
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+ | 80.2845 | 43.0 | 20984 | 44.2606 | 0.0663 |
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+ | 79.6424 | 44.0 | 21472 | 46.5519 | 0.0612 |
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+ | 78.9052 | 45.0 | 21960 | 47.1750 | 0.0654 |
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+ | 75.1781 | 46.0 | 22448 | 41.0039 | 0.0630 |
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+ | 66.398 | 47.0 | 22936 | 41.1136 | 0.0599 |
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+ | 68.9468 | 48.0 | 23424 | 39.4498 | 0.0577 |
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+ | 69.0842 | 49.0 | 23912 | 39.5141 | 0.0590 |
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+ | 63.1563 | 50.0 | 24400 | 38.1891 | 0.0572 |
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+ | 66.0264 | 51.0 | 24888 | 36.2524 | 0.0606 |
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+ | 64.2084 | 52.0 | 25376 | 39.5151 | 0.0579 |
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+ | 63.0642 | 53.0 | 25864 | 36.7211 | 0.0579 |
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+ | 61.9061 | 54.0 | 26352 | 37.9883 | 0.0564 |
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+ | 60.9176 | 55.0 | 26840 | 35.0138 | 0.0528 |
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+ | 56.4366 | 56.0 | 27328 | 33.8095 | 0.0519 |
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+ | 60.1974 | 57.0 | 27816 | 32.5853 | 0.0492 |
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+ | 57.5505 | 58.0 | 28304 | 34.2817 | 0.0512 |
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+ | 58.9594 | 59.0 | 28792 | 32.7452 | 0.0519 |
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+ | 58.9188 | 60.0 | 29280 | 32.5406 | 0.0515 |
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  ### Framework versions
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