Anders L|hr
commited on
Commit
•
eef99e5
1
Parent(s):
0b3df6d
Best 5 class model
Browse files- README.md +301 -0
- all_results.json +12 -0
- checkpoint-2640/config.json +124 -0
- checkpoint-2640/model.safetensors +3 -0
- checkpoint-2640/optimizer.pt +3 -0
- checkpoint-2640/preprocessor_config.json +9 -0
- checkpoint-2640/rng_state.pth +3 -0
- checkpoint-2640/scheduler.pt +3 -0
- checkpoint-2640/trainer_state.json +2885 -0
- checkpoint-2640/training_args.bin +3 -0
- checkpoint-3500/config.json +124 -0
- checkpoint-3500/model.safetensors +3 -0
- checkpoint-3500/optimizer.pt +3 -0
- checkpoint-3500/preprocessor_config.json +9 -0
- checkpoint-3500/rng_state.pth +3 -0
- checkpoint-3500/scheduler.pt +3 -0
- checkpoint-3500/trainer_state.json +0 -0
- checkpoint-3500/training_args.bin +3 -0
- config.json +124 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- runs/May04_12-45-57_ml6.hpc.uio.no/events.out.tfevents.1714819603.ml6.hpc.uio.no.743903.0 +3 -0
- runs/May04_12-54-19_ml6.hpc.uio.no/events.out.tfevents.1714820073.ml6.hpc.uio.no.746334.0 +3 -0
- runs/May04_12-54-19_ml6.hpc.uio.no/events.out.tfevents.1714823730.ml6.hpc.uio.no.746334.1 +3 -0
- train_results.json +7 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
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base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
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tags:
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- audio-classification
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-5Class-train-test-finetune-Medium
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results: []
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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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# wav2vec2-5Class-train-test-finetune-Medium
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This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on the anderloh/Master5Class dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7855
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- Accuracy: 0.7448
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 16
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- seed: 0
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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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: 250.0
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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 | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 56 |
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| 1.6852 | 0.95 | 14 | 1.5987 | 0.3427 |
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| 57 |
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| 1.5721 | 1.97 | 29 | 1.5976 | 0.3427 |
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| 58 |
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| 1.5696 | 2.98 | 44 | 1.5957 | 0.3427 |
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| 59 |
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| 1.5671 | 4.0 | 59 | 1.5932 | 0.3357 |
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| 60 |
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| 1.6757 | 4.95 | 73 | 1.5902 | 0.3252 |
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| 61 |
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| 1.5595 | 5.97 | 88 | 1.5864 | 0.3217 |
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| 62 |
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| 1.5536 | 6.98 | 103 | 1.5818 | 0.3182 |
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| 63 |
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| 1.5484 | 8.0 | 118 | 1.5765 | 0.3112 |
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| 64 |
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| 1.6506 | 8.95 | 132 | 1.5708 | 0.3077 |
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| 65 |
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| 1.5317 | 9.97 | 147 | 1.5641 | 0.3007 |
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| 66 |
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| 1.5226 | 10.98 | 162 | 1.5564 | 0.2867 |
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| 67 |
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| 1.5116 | 12.0 | 177 | 1.5478 | 0.2692 |
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| 68 |
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| 1.6046 | 12.95 | 191 | 1.5385 | 0.2622 |
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| 69 |
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| 1.4822 | 13.97 | 206 | 1.5285 | 0.2552 |
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| 70 |
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| 1.4614 | 14.98 | 221 | 1.5184 | 0.2552 |
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| 71 |
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| 1.4396 | 16.0 | 236 | 1.5101 | 0.2517 |
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| 72 |
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| 1.5047 | 16.95 | 250 | 1.5104 | 0.2448 |
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| 73 |
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| 1.3741 | 17.97 | 265 | 1.5250 | 0.2517 |
|
| 74 |
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| 1.3512 | 18.98 | 280 | 1.5329 | 0.2657 |
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| 75 |
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| 1.3286 | 20.0 | 295 | 1.5095 | 0.3252 |
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| 76 |
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| 1.3967 | 20.95 | 309 | 1.4829 | 0.3497 |
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| 77 |
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| 1.2779 | 21.97 | 324 | 1.4598 | 0.3846 |
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| 78 |
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| 1.2449 | 22.98 | 339 | 1.4284 | 0.4161 |
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| 79 |
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| 1.2118 | 24.0 | 354 | 1.4162 | 0.4231 |
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| 80 |
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| 1.2521 | 24.95 | 368 | 1.3798 | 0.4476 |
|
| 81 |
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| 1.1183 | 25.97 | 383 | 1.3246 | 0.4790 |
|
| 82 |
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| 1.0778 | 26.98 | 398 | 1.2761 | 0.4930 |
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| 83 |
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| 1.0306 | 28.0 | 413 | 1.2300 | 0.5105 |
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| 84 |
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| 1.0808 | 28.95 | 427 | 1.2064 | 0.5140 |
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| 85 |
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| 0.9767 | 29.97 | 442 | 1.1670 | 0.5524 |
|
| 86 |
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| 0.9589 | 30.98 | 457 | 1.1264 | 0.5734 |
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| 87 |
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| 0.9193 | 32.0 | 472 | 1.1013 | 0.5874 |
|
| 88 |
+
| 0.9462 | 32.95 | 486 | 1.0736 | 0.6049 |
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| 89 |
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| 0.85 | 33.97 | 501 | 1.0628 | 0.6049 |
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| 90 |
+
| 0.8294 | 34.98 | 516 | 1.0473 | 0.6189 |
|
| 91 |
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| 0.8025 | 36.0 | 531 | 1.0030 | 0.6329 |
|
| 92 |
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| 0.8206 | 36.95 | 545 | 0.9964 | 0.6399 |
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| 93 |
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| 0.7541 | 37.97 | 560 | 0.9605 | 0.6608 |
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| 94 |
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| 0.7413 | 38.98 | 575 | 0.9467 | 0.6643 |
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| 95 |
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| 0.709 | 40.0 | 590 | 0.9348 | 0.6678 |
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| 96 |
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| 0.7817 | 40.95 | 604 | 0.9366 | 0.6678 |
|
| 97 |
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| 0.7034 | 41.97 | 619 | 0.9109 | 0.6818 |
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| 98 |
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| 0.6856 | 42.98 | 634 | 0.9277 | 0.6573 |
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| 99 |
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| 0.6625 | 44.0 | 649 | 0.8980 | 0.6783 |
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| 100 |
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| 0.7207 | 44.95 | 663 | 0.9050 | 0.6713 |
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| 101 |
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| 0.6684 | 45.97 | 678 | 0.8973 | 0.6748 |
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| 102 |
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| 0.6651 | 46.98 | 693 | 0.8935 | 0.6783 |
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| 103 |
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| 0.6451 | 48.0 | 708 | 0.8945 | 0.6748 |
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| 104 |
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| 0.6774 | 48.95 | 722 | 0.8879 | 0.6818 |
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| 105 |
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| 0.6308 | 49.97 | 737 | 0.8883 | 0.6818 |
|
| 106 |
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| 0.6199 | 50.98 | 752 | 0.8826 | 0.6818 |
|
| 107 |
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| 0.6379 | 52.0 | 767 | 0.8582 | 0.6923 |
|
| 108 |
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| 0.6588 | 52.95 | 781 | 0.8825 | 0.6818 |
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| 109 |
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| 0.5857 | 53.97 | 796 | 0.8808 | 0.6748 |
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| 110 |
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| 0.6076 | 54.98 | 811 | 0.8555 | 0.6958 |
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| 111 |
+
| 0.5934 | 56.0 | 826 | 0.8654 | 0.6888 |
|
| 112 |
+
| 0.6427 | 56.95 | 840 | 0.8616 | 0.6853 |
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| 113 |
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| 0.5782 | 57.97 | 855 | 0.8711 | 0.6678 |
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| 114 |
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| 0.5819 | 58.98 | 870 | 0.8689 | 0.6748 |
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| 115 |
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| 0.5918 | 60.0 | 885 | 0.8602 | 0.6923 |
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| 116 |
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| 0.5845 | 60.95 | 899 | 0.8459 | 0.6993 |
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| 117 |
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| 0.5667 | 61.97 | 914 | 0.8467 | 0.7028 |
|
| 118 |
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| 0.5327 | 62.98 | 929 | 0.8540 | 0.6923 |
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| 119 |
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| 0.523 | 64.0 | 944 | 0.8323 | 0.7063 |
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| 120 |
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| 0.548 | 64.95 | 958 | 0.8407 | 0.6993 |
|
| 121 |
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| 0.5399 | 65.97 | 973 | 0.8379 | 0.6993 |
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| 122 |
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| 0.5324 | 66.98 | 988 | 0.8119 | 0.7028 |
|
| 123 |
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| 0.5171 | 68.0 | 1003 | 0.8445 | 0.6923 |
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| 124 |
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| 0.538 | 68.95 | 1017 | 0.8196 | 0.7098 |
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| 125 |
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| 0.5312 | 69.97 | 1032 | 0.8415 | 0.6853 |
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| 126 |
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| 0.4914 | 70.98 | 1047 | 0.8184 | 0.6958 |
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| 127 |
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| 0.5055 | 72.0 | 1062 | 0.8218 | 0.6923 |
|
| 128 |
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| 0.5401 | 72.95 | 1076 | 0.8160 | 0.7028 |
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| 129 |
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| 0.4966 | 73.97 | 1091 | 0.8238 | 0.6888 |
|
| 130 |
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| 0.4768 | 74.98 | 1106 | 0.8185 | 0.6993 |
|
| 131 |
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| 0.4789 | 76.0 | 1121 | 0.8261 | 0.7028 |
|
| 132 |
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| 0.5176 | 76.95 | 1135 | 0.8110 | 0.7098 |
|
| 133 |
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| 0.466 | 77.97 | 1150 | 0.8141 | 0.6993 |
|
| 134 |
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| 0.4736 | 78.98 | 1165 | 0.7970 | 0.7168 |
|
| 135 |
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| 0.4785 | 80.0 | 1180 | 0.8062 | 0.7098 |
|
| 136 |
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| 0.5309 | 80.95 | 1194 | 0.8051 | 0.6958 |
|
| 137 |
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| 0.4571 | 81.97 | 1209 | 0.8024 | 0.7098 |
|
| 138 |
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| 0.47 | 82.98 | 1224 | 0.8031 | 0.7168 |
|
| 139 |
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| 0.4525 | 84.0 | 1239 | 0.7911 | 0.7133 |
|
| 140 |
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| 0.5058 | 84.95 | 1253 | 0.7877 | 0.7133 |
|
| 141 |
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| 0.4627 | 85.97 | 1268 | 0.7918 | 0.7063 |
|
| 142 |
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| 0.4343 | 86.98 | 1283 | 0.7882 | 0.7168 |
|
| 143 |
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| 0.4442 | 88.0 | 1298 | 0.8058 | 0.7133 |
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| 144 |
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| 0.4745 | 88.95 | 1312 | 0.7810 | 0.7238 |
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| 145 |
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| 0.4282 | 89.97 | 1327 | 0.7951 | 0.7098 |
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| 146 |
+
| 0.4307 | 90.98 | 1342 | 0.7739 | 0.7168 |
|
| 147 |
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| 0.4403 | 92.0 | 1357 | 0.7788 | 0.7203 |
|
| 148 |
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| 0.4567 | 92.95 | 1371 | 0.7927 | 0.7168 |
|
| 149 |
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| 0.4233 | 93.97 | 1386 | 0.7885 | 0.7203 |
|
| 150 |
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| 0.4347 | 94.98 | 1401 | 0.7849 | 0.7203 |
|
| 151 |
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| 0.4167 | 96.0 | 1416 | 0.7880 | 0.7238 |
|
| 152 |
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| 0.4394 | 96.95 | 1430 | 0.7889 | 0.7203 |
|
| 153 |
+
| 0.4359 | 97.97 | 1445 | 0.7785 | 0.7203 |
|
| 154 |
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| 0.4085 | 98.98 | 1460 | 0.7852 | 0.7133 |
|
| 155 |
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| 0.3965 | 100.0 | 1475 | 0.7785 | 0.7273 |
|
| 156 |
+
| 0.445 | 100.95 | 1489 | 0.7826 | 0.7203 |
|
| 157 |
+
| 0.3988 | 101.97 | 1504 | 0.8045 | 0.7098 |
|
| 158 |
+
| 0.4129 | 102.98 | 1519 | 0.7686 | 0.7273 |
|
| 159 |
+
| 0.3937 | 104.0 | 1534 | 0.7912 | 0.7133 |
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| 160 |
+
| 0.4356 | 104.95 | 1548 | 0.7922 | 0.7133 |
|
| 161 |
+
| 0.3969 | 105.97 | 1563 | 0.7752 | 0.7203 |
|
| 162 |
+
| 0.4051 | 106.98 | 1578 | 0.7917 | 0.7133 |
|
| 163 |
+
| 0.3982 | 108.0 | 1593 | 0.7917 | 0.7098 |
|
| 164 |
+
| 0.4117 | 108.95 | 1607 | 0.8071 | 0.7063 |
|
| 165 |
+
| 0.3666 | 109.97 | 1622 | 0.7840 | 0.7203 |
|
| 166 |
+
| 0.3894 | 110.98 | 1637 | 0.7790 | 0.7238 |
|
| 167 |
+
| 0.3858 | 112.0 | 1652 | 0.7961 | 0.7098 |
|
| 168 |
+
| 0.4037 | 112.95 | 1666 | 0.7822 | 0.7203 |
|
| 169 |
+
| 0.3886 | 113.97 | 1681 | 0.7748 | 0.7238 |
|
| 170 |
+
| 0.3762 | 114.98 | 1696 | 0.7782 | 0.7168 |
|
| 171 |
+
| 0.3444 | 116.0 | 1711 | 0.7746 | 0.7308 |
|
| 172 |
+
| 0.3961 | 116.95 | 1725 | 0.7842 | 0.7203 |
|
| 173 |
+
| 0.3578 | 117.97 | 1740 | 0.7819 | 0.7203 |
|
| 174 |
+
| 0.3578 | 118.98 | 1755 | 0.7806 | 0.7203 |
|
| 175 |
+
| 0.3489 | 120.0 | 1770 | 0.7809 | 0.7238 |
|
| 176 |
+
| 0.3622 | 120.95 | 1784 | 0.7947 | 0.7098 |
|
| 177 |
+
| 0.3545 | 121.97 | 1799 | 0.7878 | 0.7168 |
|
| 178 |
+
| 0.3361 | 122.98 | 1814 | 0.7855 | 0.7168 |
|
| 179 |
+
| 0.3618 | 124.0 | 1829 | 0.7890 | 0.7133 |
|
| 180 |
+
| 0.3472 | 124.95 | 1843 | 0.7810 | 0.7168 |
|
| 181 |
+
| 0.3511 | 125.97 | 1858 | 0.7897 | 0.7133 |
|
| 182 |
+
| 0.3389 | 126.98 | 1873 | 0.7923 | 0.7133 |
|
| 183 |
+
| 0.3391 | 128.0 | 1888 | 0.7782 | 0.7273 |
|
| 184 |
+
| 0.3746 | 128.95 | 1902 | 0.7838 | 0.7203 |
|
| 185 |
+
| 0.3238 | 129.97 | 1917 | 0.7943 | 0.7168 |
|
| 186 |
+
| 0.3601 | 130.98 | 1932 | 0.7863 | 0.7168 |
|
| 187 |
+
| 0.3339 | 132.0 | 1947 | 0.7949 | 0.7133 |
|
| 188 |
+
| 0.3805 | 132.95 | 1961 | 0.7823 | 0.7238 |
|
| 189 |
+
| 0.3524 | 133.97 | 1976 | 0.8052 | 0.7098 |
|
| 190 |
+
| 0.3103 | 134.98 | 1991 | 0.7809 | 0.7238 |
|
| 191 |
+
| 0.3484 | 136.0 | 2006 | 0.7879 | 0.7203 |
|
| 192 |
+
| 0.3424 | 136.95 | 2020 | 0.7875 | 0.7273 |
|
| 193 |
+
| 0.316 | 137.97 | 2035 | 0.7829 | 0.7273 |
|
| 194 |
+
| 0.3171 | 138.98 | 2050 | 0.7882 | 0.7203 |
|
| 195 |
+
| 0.3155 | 140.0 | 2065 | 0.7830 | 0.7168 |
|
| 196 |
+
| 0.3382 | 140.95 | 2079 | 0.7826 | 0.7273 |
|
| 197 |
+
| 0.3175 | 141.97 | 2094 | 0.7964 | 0.7203 |
|
| 198 |
+
| 0.3444 | 142.98 | 2109 | 0.7859 | 0.7238 |
|
| 199 |
+
| 0.3208 | 144.0 | 2124 | 0.7860 | 0.7273 |
|
| 200 |
+
| 0.3286 | 144.95 | 2138 | 0.7869 | 0.7273 |
|
| 201 |
+
| 0.3319 | 145.97 | 2153 | 0.7916 | 0.7168 |
|
| 202 |
+
| 0.2954 | 146.98 | 2168 | 0.7938 | 0.7238 |
|
| 203 |
+
| 0.3283 | 148.0 | 2183 | 0.7974 | 0.7168 |
|
| 204 |
+
| 0.3306 | 148.95 | 2197 | 0.7795 | 0.7308 |
|
| 205 |
+
| 0.3073 | 149.97 | 2212 | 0.7910 | 0.7203 |
|
| 206 |
+
| 0.3089 | 150.98 | 2227 | 0.7942 | 0.7203 |
|
| 207 |
+
| 0.2915 | 152.0 | 2242 | 0.7934 | 0.7168 |
|
| 208 |
+
| 0.3286 | 152.95 | 2256 | 0.7808 | 0.7308 |
|
| 209 |
+
| 0.2817 | 153.97 | 2271 | 0.7788 | 0.7308 |
|
| 210 |
+
| 0.3118 | 154.98 | 2286 | 0.7898 | 0.7273 |
|
| 211 |
+
| 0.3155 | 156.0 | 2301 | 0.7966 | 0.7203 |
|
| 212 |
+
| 0.3156 | 156.95 | 2315 | 0.7947 | 0.7203 |
|
| 213 |
+
| 0.2936 | 157.97 | 2330 | 0.7917 | 0.7168 |
|
| 214 |
+
| 0.3049 | 158.98 | 2345 | 0.7780 | 0.7308 |
|
| 215 |
+
| 0.2896 | 160.0 | 2360 | 0.7926 | 0.7273 |
|
| 216 |
+
| 0.3194 | 160.95 | 2374 | 0.8023 | 0.7203 |
|
| 217 |
+
| 0.2918 | 161.97 | 2389 | 0.7933 | 0.7273 |
|
| 218 |
+
| 0.2992 | 162.98 | 2404 | 0.7829 | 0.7413 |
|
| 219 |
+
| 0.3 | 164.0 | 2419 | 0.7946 | 0.7203 |
|
| 220 |
+
| 0.322 | 164.95 | 2433 | 0.7969 | 0.7273 |
|
| 221 |
+
| 0.2994 | 165.97 | 2448 | 0.8076 | 0.7238 |
|
| 222 |
+
| 0.2849 | 166.98 | 2463 | 0.7951 | 0.7308 |
|
| 223 |
+
| 0.2745 | 168.0 | 2478 | 0.7892 | 0.7343 |
|
| 224 |
+
| 0.2974 | 168.95 | 2492 | 0.7916 | 0.7308 |
|
| 225 |
+
| 0.2656 | 169.97 | 2507 | 0.7995 | 0.7343 |
|
| 226 |
+
| 0.295 | 170.98 | 2522 | 0.8026 | 0.7238 |
|
| 227 |
+
| 0.2791 | 172.0 | 2537 | 0.7973 | 0.7343 |
|
| 228 |
+
| 0.2836 | 172.95 | 2551 | 0.8023 | 0.7308 |
|
| 229 |
+
| 0.2806 | 173.97 | 2566 | 0.8013 | 0.7308 |
|
| 230 |
+
| 0.2661 | 174.98 | 2581 | 0.7965 | 0.7308 |
|
| 231 |
+
| 0.2695 | 176.0 | 2596 | 0.8063 | 0.7273 |
|
| 232 |
+
| 0.286 | 176.95 | 2610 | 0.7963 | 0.7238 |
|
| 233 |
+
| 0.2743 | 177.97 | 2625 | 0.7929 | 0.7413 |
|
| 234 |
+
| 0.2775 | 178.98 | 2640 | 0.7855 | 0.7448 |
|
| 235 |
+
| 0.2878 | 180.0 | 2655 | 0.7894 | 0.7378 |
|
| 236 |
+
| 0.2757 | 180.95 | 2669 | 0.8013 | 0.7273 |
|
| 237 |
+
| 0.3067 | 181.97 | 2684 | 0.8015 | 0.7308 |
|
| 238 |
+
| 0.2412 | 182.98 | 2699 | 0.7975 | 0.7273 |
|
| 239 |
+
| 0.2686 | 184.0 | 2714 | 0.8037 | 0.7238 |
|
| 240 |
+
| 0.3176 | 184.95 | 2728 | 0.8017 | 0.7308 |
|
| 241 |
+
| 0.269 | 185.97 | 2743 | 0.8060 | 0.7308 |
|
| 242 |
+
| 0.2668 | 186.98 | 2758 | 0.8030 | 0.7308 |
|
| 243 |
+
| 0.2761 | 188.0 | 2773 | 0.8007 | 0.7413 |
|
| 244 |
+
| 0.2731 | 188.95 | 2787 | 0.8039 | 0.7343 |
|
| 245 |
+
| 0.2678 | 189.97 | 2802 | 0.8054 | 0.7308 |
|
| 246 |
+
| 0.2686 | 190.98 | 2817 | 0.8042 | 0.7343 |
|
| 247 |
+
| 0.2721 | 192.0 | 2832 | 0.8063 | 0.7308 |
|
| 248 |
+
| 0.3111 | 192.95 | 2846 | 0.8075 | 0.7378 |
|
| 249 |
+
| 0.2525 | 193.97 | 2861 | 0.8114 | 0.7273 |
|
| 250 |
+
| 0.2589 | 194.98 | 2876 | 0.8071 | 0.7413 |
|
| 251 |
+
| 0.2597 | 196.0 | 2891 | 0.8161 | 0.7378 |
|
| 252 |
+
| 0.3034 | 196.95 | 2905 | 0.8163 | 0.7378 |
|
| 253 |
+
| 0.2721 | 197.97 | 2920 | 0.8151 | 0.7308 |
|
| 254 |
+
| 0.2783 | 198.98 | 2935 | 0.8093 | 0.7448 |
|
| 255 |
+
| 0.259 | 200.0 | 2950 | 0.8026 | 0.7413 |
|
| 256 |
+
| 0.2896 | 200.95 | 2964 | 0.8070 | 0.7308 |
|
| 257 |
+
| 0.2584 | 201.97 | 2979 | 0.8113 | 0.7308 |
|
| 258 |
+
| 0.2672 | 202.98 | 2994 | 0.8096 | 0.7343 |
|
| 259 |
+
| 0.2622 | 204.0 | 3009 | 0.8060 | 0.7413 |
|
| 260 |
+
| 0.2677 | 204.95 | 3023 | 0.8084 | 0.7343 |
|
| 261 |
+
| 0.263 | 205.97 | 3038 | 0.8010 | 0.7378 |
|
| 262 |
+
| 0.2608 | 206.98 | 3053 | 0.7989 | 0.7448 |
|
| 263 |
+
| 0.2528 | 208.0 | 3068 | 0.7954 | 0.7448 |
|
| 264 |
+
| 0.2553 | 208.95 | 3082 | 0.7965 | 0.7413 |
|
| 265 |
+
| 0.2652 | 209.97 | 3097 | 0.7995 | 0.7413 |
|
| 266 |
+
| 0.246 | 210.98 | 3112 | 0.8026 | 0.7378 |
|
| 267 |
+
| 0.2665 | 212.0 | 3127 | 0.8049 | 0.7378 |
|
| 268 |
+
| 0.2731 | 212.95 | 3141 | 0.8052 | 0.7378 |
|
| 269 |
+
| 0.2539 | 213.97 | 3156 | 0.8089 | 0.7378 |
|
| 270 |
+
| 0.2376 | 214.98 | 3171 | 0.8116 | 0.7378 |
|
| 271 |
+
| 0.2667 | 216.0 | 3186 | 0.8099 | 0.7413 |
|
| 272 |
+
| 0.2768 | 216.95 | 3200 | 0.8079 | 0.7413 |
|
| 273 |
+
| 0.2551 | 217.97 | 3215 | 0.8065 | 0.7448 |
|
| 274 |
+
| 0.256 | 218.98 | 3230 | 0.8080 | 0.7413 |
|
| 275 |
+
| 0.2387 | 220.0 | 3245 | 0.8076 | 0.7448 |
|
| 276 |
+
| 0.2736 | 220.95 | 3259 | 0.8081 | 0.7448 |
|
| 277 |
+
| 0.2551 | 221.97 | 3274 | 0.8092 | 0.7448 |
|
| 278 |
+
| 0.2482 | 222.98 | 3289 | 0.8085 | 0.7448 |
|
| 279 |
+
| 0.2432 | 224.0 | 3304 | 0.8085 | 0.7448 |
|
| 280 |
+
| 0.2857 | 224.95 | 3318 | 0.8079 | 0.7448 |
|
| 281 |
+
| 0.2434 | 225.97 | 3333 | 0.8079 | 0.7448 |
|
| 282 |
+
| 0.2531 | 226.98 | 3348 | 0.8078 | 0.7448 |
|
| 283 |
+
| 0.222 | 228.0 | 3363 | 0.8093 | 0.7448 |
|
| 284 |
+
| 0.2651 | 228.95 | 3377 | 0.8105 | 0.7448 |
|
| 285 |
+
| 0.2886 | 229.97 | 3392 | 0.8116 | 0.7448 |
|
| 286 |
+
| 0.2534 | 230.98 | 3407 | 0.8116 | 0.7448 |
|
| 287 |
+
| 0.2483 | 232.0 | 3422 | 0.8116 | 0.7448 |
|
| 288 |
+
| 0.272 | 232.95 | 3436 | 0.8118 | 0.7448 |
|
| 289 |
+
| 0.2562 | 233.97 | 3451 | 0.8120 | 0.7448 |
|
| 290 |
+
| 0.2531 | 234.98 | 3466 | 0.8122 | 0.7448 |
|
| 291 |
+
| 0.2397 | 236.0 | 3481 | 0.8123 | 0.7448 |
|
| 292 |
+
| 0.2573 | 236.95 | 3495 | 0.8123 | 0.7448 |
|
| 293 |
+
| 0.2023 | 237.29 | 3500 | 0.8122 | 0.7448 |
|
| 294 |
+
|
| 295 |
+
|
| 296 |
+
### Framework versions
|
| 297 |
+
|
| 298 |
+
- Transformers 4.39.0.dev0
|
| 299 |
+
- Pytorch 2.2.1+cu121
|
| 300 |
+
- Datasets 2.17.1
|
| 301 |
+
- Tokenizers 0.15.2
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
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|
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|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 237.29,
|
| 3 |
+
"eval_accuracy": 0.7447552447552448,
|
| 4 |
+
"eval_loss": 0.7855107188224792,
|
| 5 |
+
"eval_runtime": 4.8875,
|
| 6 |
+
"eval_samples_per_second": 58.516,
|
| 7 |
+
"eval_steps_per_second": 3.683,
|
| 8 |
+
"train_loss": 0.5242921064240592,
|
| 9 |
+
"train_runtime": 3651.9597,
|
| 10 |
+
"train_samples_per_second": 63.87,
|
| 11 |
+
"train_steps_per_second": 0.958
|
| 12 |
+
}
|
checkpoint-2640/config.json
ADDED
|
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_attn_dim": null,
|
| 5 |
+
"adapter_kernel_size": 3,
|
| 6 |
+
"adapter_stride": 2,
|
| 7 |
+
"add_adapter": false,
|
| 8 |
+
"apply_spec_augment": true,
|
| 9 |
+
"architectures": [
|
| 10 |
+
"Wav2Vec2ForSequenceClassification"
|
| 11 |
+
],
|
| 12 |
+
"attention_dropout": 0.0,
|
| 13 |
+
"bos_token_id": 1,
|
| 14 |
+
"classifier_proj_size": 128,
|
| 15 |
+
"codevector_dim": 128,
|
| 16 |
+
"contrastive_logits_temperature": 0.1,
|
| 17 |
+
"conv_bias": true,
|
| 18 |
+
"conv_dim": [
|
| 19 |
+
256,
|
| 20 |
+
256,
|
| 21 |
+
256,
|
| 22 |
+
256,
|
| 23 |
+
256,
|
| 24 |
+
256,
|
| 25 |
+
256
|
| 26 |
+
],
|
| 27 |
+
"conv_kernel": [
|
| 28 |
+
10,
|
| 29 |
+
3,
|
| 30 |
+
3,
|
| 31 |
+
3,
|
| 32 |
+
3,
|
| 33 |
+
2,
|
| 34 |
+
2
|
| 35 |
+
],
|
| 36 |
+
"conv_stride": [
|
| 37 |
+
5,
|
| 38 |
+
2,
|
| 39 |
+
2,
|
| 40 |
+
2,
|
| 41 |
+
2,
|
| 42 |
+
2,
|
| 43 |
+
2
|
| 44 |
+
],
|
| 45 |
+
"ctc_loss_reduction": "sum",
|
| 46 |
+
"ctc_zero_infinity": false,
|
| 47 |
+
"diversity_loss_weight": 0.1,
|
| 48 |
+
"do_stable_layer_norm": true,
|
| 49 |
+
"eos_token_id": 2,
|
| 50 |
+
"feat_extract_activation": "gelu",
|
| 51 |
+
"feat_extract_dropout": 0.0,
|
| 52 |
+
"feat_extract_norm": "layer",
|
| 53 |
+
"feat_proj_dropout": 0.0,
|
| 54 |
+
"feat_quantizer_dropout": 0.0,
|
| 55 |
+
"final_dropout": 0.0,
|
| 56 |
+
"finetuning_task": "audio-classification",
|
| 57 |
+
"hidden_act": "gelu",
|
| 58 |
+
"hidden_dropout": 0.0,
|
| 59 |
+
"hidden_dropout_prob": 0.0,
|
| 60 |
+
"hidden_size": 384,
|
| 61 |
+
"id2label": {
|
| 62 |
+
"0": "Helicopter",
|
| 63 |
+
"1": "Jet",
|
| 64 |
+
"2": "Racecar",
|
| 65 |
+
"3": "Rail",
|
| 66 |
+
"4": "Truck"
|
| 67 |
+
},
|
| 68 |
+
"initializer_range": 0.02,
|
| 69 |
+
"intermediate_size": 1536,
|
| 70 |
+
"label2id": {
|
| 71 |
+
"Helicopter": "0",
|
| 72 |
+
"Jet": "1",
|
| 73 |
+
"Racecar": "2",
|
| 74 |
+
"Rail": "3",
|
| 75 |
+
"Truck": "4"
|
| 76 |
+
},
|
| 77 |
+
"layer_norm_eps": 1e-05,
|
| 78 |
+
"layerdrop": 0.0,
|
| 79 |
+
"mask_feature_length": 10,
|
| 80 |
+
"mask_feature_min_masks": 0,
|
| 81 |
+
"mask_feature_prob": 0.0,
|
| 82 |
+
"mask_time_length": 10,
|
| 83 |
+
"mask_time_min_masks": 2,
|
| 84 |
+
"mask_time_prob": 0.65,
|
| 85 |
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"model_type": "wav2vec2",
|
| 86 |
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"num_adapter_layers": 3,
|
| 87 |
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"num_attention_heads": 6,
|
| 88 |
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"num_codevector_groups": 2,
|
| 89 |
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"num_codevectors_per_group": 320,
|
| 90 |
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"num_conv_pos_embedding_groups": 16,
|
| 91 |
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"num_conv_pos_embeddings": 128,
|
| 92 |
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"num_feat_extract_layers": 7,
|
| 93 |
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"num_hidden_layers": 6,
|
| 94 |
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"num_negatives": 100,
|
| 95 |
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"output_hidden_size": 384,
|
| 96 |
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"pad_token_id": 0,
|
| 97 |
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"proj_codevector_dim": 128,
|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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1,
|
| 103 |
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1
|
| 104 |
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],
|
| 105 |
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"tdnn_dim": [
|
| 106 |
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|
| 107 |
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512,
|
| 108 |
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512,
|
| 109 |
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512,
|
| 110 |
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1500
|
| 111 |
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],
|
| 112 |
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"tdnn_kernel": [
|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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1
|
| 118 |
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],
|
| 119 |
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"torch_dtype": "float32",
|
| 120 |
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"transformers_version": "4.39.0.dev0",
|
| 121 |
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"use_weighted_layer_sum": false,
|
| 122 |
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"vocab_size": 32,
|
| 123 |
+
"xvector_output_dim": 512
|
| 124 |
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}
|
checkpoint-2640/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 52151348
|
checkpoint-2640/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:6dfe3189b9404e4429422dc6d24f6e84c7a87369f53c917c0bb7caf39428465c
|
| 3 |
+
size 95909946
|
checkpoint-2640/preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
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|
|
|
|
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|
|
|
|
|
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|
| 1 |
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{
|
| 2 |
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"do_normalize": true,
|
| 3 |
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"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
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"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
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"padding_value": 0.0,
|
| 7 |
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"return_attention_mask": true,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
checkpoint-2640/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:8be732c71052de6c38eca0ad16a1f1458800d818c8bbfe8e3d49a037336aa529
|
| 3 |
+
size 14308
|
checkpoint-2640/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbf1576243ff11e40b5d376b44f6b9492d3567a305c5801472b8ce907b2cdffa
|
| 3 |
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size 1064
|
checkpoint-2640/trainer_state.json
ADDED
|
@@ -0,0 +1,2885 @@
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| 1 |
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{
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eval_results.json
ADDED
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model.safetensors
ADDED
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preprocessor_config.json
ADDED
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runs/May04_12-45-57_ml6.hpc.uio.no/events.out.tfevents.1714819603.ml6.hpc.uio.no.743903.0
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trainer_state.json
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The diff for this file is too large to render.
See raw diff
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training_args.bin
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