Training in progress, epoch 1
Browse files- README.md +387 -0
- all_results.json +12 -0
- config.json +124 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +9 -0
- pytorch_model.bin +3 -0
- runs/Jun19_18-32-08_ml6.hpc.uio.no/events.out.tfevents.1718814757.ml6.hpc.uio.no.3740755.0 +3 -0
- runs/Jun19_19-59-24_ml6.hpc.uio.no/events.out.tfevents.1718819982.ml6.hpc.uio.no.3789351.0 +3 -0
- runs/Jun19_19-59-24_ml6.hpc.uio.no/events.out.tfevents.1718824779.ml6.hpc.uio.no.3789351.1 +3 -0
- runs/Jun19_21-46-15_ml6.hpc.uio.no/events.out.tfevents.1718826395.ml6.hpc.uio.no.3855193.0 +3 -0
- runs/May04_11-28-58_ml6.hpc.uio.no/events.out.tfevents.1714815008.ml6.hpc.uio.no.725046.0 +3 -0
- runs/May04_11-33-59_ml6.hpc.uio.no/events.out.tfevents.1714815251.ml6.hpc.uio.no.727136.0 +3 -0
- train_results.json +7 -0
- trainer_state.json +3093 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
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| 3 |
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tags:
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| 4 |
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- audio-classification
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| 5 |
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- generated_from_trainer
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| 6 |
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metrics:
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| 7 |
+
- accuracy
|
| 8 |
+
model-index:
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| 9 |
+
- name: HuggingfaceTest
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| 10 |
+
results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
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| 16 |
+
# HuggingfaceTest
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| 17 |
+
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| 18 |
+
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.
|
| 19 |
+
It achieves the following results on the evaluation set:
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| 20 |
+
- Loss: 0.8156
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| 21 |
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- Accuracy: 0.7028
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| 22 |
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| 23 |
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## Model description
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| 24 |
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| 25 |
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More information needed
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| 26 |
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| 27 |
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## Intended uses & limitations
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| 28 |
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| 29 |
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More information needed
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| 30 |
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| 31 |
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## Training and evaluation data
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| 32 |
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| 33 |
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More information needed
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| 34 |
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| 35 |
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## Training procedure
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| 36 |
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| 37 |
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### Training hyperparameters
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| 38 |
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| 39 |
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The following hyperparameters were used during training:
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| 40 |
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- learning_rate: 3e-05
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| 41 |
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- train_batch_size: 128
|
| 42 |
+
- eval_batch_size: 128
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| 43 |
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- seed: 0
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| 44 |
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- gradient_accumulation_steps: 4
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| 45 |
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- total_train_batch_size: 512
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| 46 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 47 |
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- lr_scheduler_type: linear
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| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
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| 49 |
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- num_epochs: 350.0
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| 50 |
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- mixed_precision_training: Native AMP
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| 51 |
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| 52 |
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### Training results
|
| 53 |
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| 54 |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 55 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|
|
| 56 |
+
| No log | 0.92 | 3 | 1.5989 | 0.3427 |
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| 57 |
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| No log | 1.85 | 6 | 1.5988 | 0.3427 |
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| 58 |
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| No log | 2.77 | 9 | 1.5986 | 0.3427 |
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| 59 |
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| No log | 4.0 | 13 | 1.5981 | 0.3427 |
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| 60 |
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| No log | 4.92 | 16 | 1.5976 | 0.3357 |
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| 61 |
+
| No log | 5.85 | 19 | 1.5970 | 0.3427 |
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| 62 |
+
| No log | 6.77 | 22 | 1.5963 | 0.3392 |
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| 63 |
+
| No log | 8.0 | 26 | 1.5953 | 0.3357 |
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| 64 |
+
| No log | 8.92 | 29 | 1.5943 | 0.3287 |
|
| 65 |
+
| No log | 9.85 | 32 | 1.5933 | 0.3287 |
|
| 66 |
+
| No log | 10.77 | 35 | 1.5922 | 0.3217 |
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| 67 |
+
| No log | 12.0 | 39 | 1.5906 | 0.3182 |
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| 68 |
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| No log | 12.92 | 42 | 1.5892 | 0.3147 |
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| 69 |
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| No log | 13.85 | 45 | 1.5877 | 0.3007 |
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| 70 |
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| No log | 14.77 | 48 | 1.5862 | 0.2937 |
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| 71 |
+
| 1.5907 | 16.0 | 52 | 1.5841 | 0.2972 |
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| 72 |
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| 1.5907 | 16.92 | 55 | 1.5824 | 0.2832 |
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| 73 |
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| 1.5907 | 17.85 | 58 | 1.5806 | 0.2797 |
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| 74 |
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| 1.5907 | 18.77 | 61 | 1.5788 | 0.2692 |
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| 75 |
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| 1.5907 | 20.0 | 65 | 1.5762 | 0.2692 |
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| 76 |
+
| 1.5907 | 20.92 | 68 | 1.5740 | 0.2657 |
|
| 77 |
+
| 1.5907 | 21.85 | 71 | 1.5717 | 0.2552 |
|
| 78 |
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| 1.5907 | 22.77 | 74 | 1.5694 | 0.2517 |
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| 79 |
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| 1.5907 | 24.0 | 78 | 1.5661 | 0.2378 |
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| 80 |
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| 1.5907 | 24.92 | 81 | 1.5635 | 0.2343 |
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| 81 |
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| 1.5907 | 25.85 | 84 | 1.5608 | 0.2238 |
|
| 82 |
+
| 1.5907 | 26.77 | 87 | 1.5581 | 0.2238 |
|
| 83 |
+
| 1.5907 | 28.0 | 91 | 1.5542 | 0.2273 |
|
| 84 |
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| 1.5907 | 28.92 | 94 | 1.5511 | 0.2273 |
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| 85 |
+
| 1.5907 | 29.85 | 97 | 1.5479 | 0.2273 |
|
| 86 |
+
| 1.5431 | 30.77 | 100 | 1.5448 | 0.2273 |
|
| 87 |
+
| 1.5431 | 32.0 | 104 | 1.5408 | 0.2273 |
|
| 88 |
+
| 1.5431 | 32.92 | 107 | 1.5380 | 0.2273 |
|
| 89 |
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| 1.5431 | 33.85 | 110 | 1.5359 | 0.2273 |
|
| 90 |
+
| 1.5431 | 34.77 | 113 | 1.5345 | 0.2273 |
|
| 91 |
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| 1.5431 | 36.0 | 117 | 1.5335 | 0.2273 |
|
| 92 |
+
| 1.5431 | 36.92 | 120 | 1.5341 | 0.2273 |
|
| 93 |
+
| 1.5431 | 37.85 | 123 | 1.5361 | 0.2273 |
|
| 94 |
+
| 1.5431 | 38.77 | 126 | 1.5397 | 0.2273 |
|
| 95 |
+
| 1.5431 | 40.0 | 130 | 1.5479 | 0.2273 |
|
| 96 |
+
| 1.5431 | 40.92 | 133 | 1.5564 | 0.2273 |
|
| 97 |
+
| 1.5431 | 41.85 | 136 | 1.5679 | 0.2273 |
|
| 98 |
+
| 1.5431 | 42.77 | 139 | 1.5822 | 0.2273 |
|
| 99 |
+
| 1.5431 | 44.0 | 143 | 1.6002 | 0.2273 |
|
| 100 |
+
| 1.5431 | 44.92 | 146 | 1.6109 | 0.2273 |
|
| 101 |
+
| 1.5431 | 45.85 | 149 | 1.6146 | 0.2273 |
|
| 102 |
+
| 1.4033 | 46.77 | 152 | 1.6131 | 0.2273 |
|
| 103 |
+
| 1.4033 | 48.0 | 156 | 1.6008 | 0.2273 |
|
| 104 |
+
| 1.4033 | 48.92 | 159 | 1.5862 | 0.2413 |
|
| 105 |
+
| 1.4033 | 49.85 | 162 | 1.5726 | 0.2692 |
|
| 106 |
+
| 1.4033 | 50.77 | 165 | 1.5599 | 0.2692 |
|
| 107 |
+
| 1.4033 | 52.0 | 169 | 1.5459 | 0.2867 |
|
| 108 |
+
| 1.4033 | 52.92 | 172 | 1.5383 | 0.2937 |
|
| 109 |
+
| 1.4033 | 53.85 | 175 | 1.5311 | 0.3147 |
|
| 110 |
+
| 1.4033 | 54.77 | 178 | 1.5242 | 0.3252 |
|
| 111 |
+
| 1.4033 | 56.0 | 182 | 1.5169 | 0.3357 |
|
| 112 |
+
| 1.4033 | 56.92 | 185 | 1.5103 | 0.3427 |
|
| 113 |
+
| 1.4033 | 57.85 | 188 | 1.5056 | 0.3462 |
|
| 114 |
+
| 1.4033 | 58.77 | 191 | 1.4995 | 0.3462 |
|
| 115 |
+
| 1.4033 | 60.0 | 195 | 1.4939 | 0.3497 |
|
| 116 |
+
| 1.4033 | 60.92 | 198 | 1.4870 | 0.3601 |
|
| 117 |
+
| 1.2485 | 61.85 | 201 | 1.4829 | 0.3671 |
|
| 118 |
+
| 1.2485 | 62.77 | 204 | 1.4735 | 0.3741 |
|
| 119 |
+
| 1.2485 | 64.0 | 208 | 1.4612 | 0.3811 |
|
| 120 |
+
| 1.2485 | 64.92 | 211 | 1.4492 | 0.3986 |
|
| 121 |
+
| 1.2485 | 65.85 | 214 | 1.4365 | 0.4126 |
|
| 122 |
+
| 1.2485 | 66.77 | 217 | 1.4227 | 0.4231 |
|
| 123 |
+
| 1.2485 | 68.0 | 221 | 1.4096 | 0.4336 |
|
| 124 |
+
| 1.2485 | 68.92 | 224 | 1.4010 | 0.4371 |
|
| 125 |
+
| 1.2485 | 69.85 | 227 | 1.3950 | 0.4406 |
|
| 126 |
+
| 1.2485 | 70.77 | 230 | 1.3920 | 0.4371 |
|
| 127 |
+
| 1.2485 | 72.0 | 234 | 1.3799 | 0.4406 |
|
| 128 |
+
| 1.2485 | 72.92 | 237 | 1.3669 | 0.4476 |
|
| 129 |
+
| 1.2485 | 73.85 | 240 | 1.3515 | 0.4545 |
|
| 130 |
+
| 1.2485 | 74.77 | 243 | 1.3401 | 0.4720 |
|
| 131 |
+
| 1.2485 | 76.0 | 247 | 1.3286 | 0.4825 |
|
| 132 |
+
| 1.1198 | 76.92 | 250 | 1.3175 | 0.4860 |
|
| 133 |
+
| 1.1198 | 77.85 | 253 | 1.3067 | 0.4895 |
|
| 134 |
+
| 1.1198 | 78.77 | 256 | 1.3013 | 0.4825 |
|
| 135 |
+
| 1.1198 | 80.0 | 260 | 1.2954 | 0.4790 |
|
| 136 |
+
| 1.1198 | 80.92 | 263 | 1.2897 | 0.4860 |
|
| 137 |
+
| 1.1198 | 81.85 | 266 | 1.2832 | 0.4860 |
|
| 138 |
+
| 1.1198 | 82.77 | 269 | 1.2712 | 0.4825 |
|
| 139 |
+
| 1.1198 | 84.0 | 273 | 1.2584 | 0.4930 |
|
| 140 |
+
| 1.1198 | 84.92 | 276 | 1.2516 | 0.4965 |
|
| 141 |
+
| 1.1198 | 85.85 | 279 | 1.2456 | 0.5 |
|
| 142 |
+
| 1.1198 | 86.77 | 282 | 1.2444 | 0.5105 |
|
| 143 |
+
| 1.1198 | 88.0 | 286 | 1.2373 | 0.5105 |
|
| 144 |
+
| 1.1198 | 88.92 | 289 | 1.2309 | 0.5140 |
|
| 145 |
+
| 1.1198 | 89.85 | 292 | 1.2219 | 0.5210 |
|
| 146 |
+
| 1.1198 | 90.77 | 295 | 1.2145 | 0.5210 |
|
| 147 |
+
| 1.1198 | 92.0 | 299 | 1.2054 | 0.5280 |
|
| 148 |
+
| 0.9915 | 92.92 | 302 | 1.1982 | 0.5350 |
|
| 149 |
+
| 0.9915 | 93.85 | 305 | 1.1913 | 0.5385 |
|
| 150 |
+
| 0.9915 | 94.77 | 308 | 1.1859 | 0.5455 |
|
| 151 |
+
| 0.9915 | 96.0 | 312 | 1.1794 | 0.5490 |
|
| 152 |
+
| 0.9915 | 96.92 | 315 | 1.1734 | 0.5455 |
|
| 153 |
+
| 0.9915 | 97.85 | 318 | 1.1638 | 0.5524 |
|
| 154 |
+
| 0.9915 | 98.77 | 321 | 1.1550 | 0.5524 |
|
| 155 |
+
| 0.9915 | 100.0 | 325 | 1.1465 | 0.5490 |
|
| 156 |
+
| 0.9915 | 100.92 | 328 | 1.1444 | 0.5594 |
|
| 157 |
+
| 0.9915 | 101.85 | 331 | 1.1359 | 0.5629 |
|
| 158 |
+
| 0.9915 | 102.77 | 334 | 1.1271 | 0.5664 |
|
| 159 |
+
| 0.9915 | 104.0 | 338 | 1.1090 | 0.5769 |
|
| 160 |
+
| 0.9915 | 104.92 | 341 | 1.0972 | 0.5944 |
|
| 161 |
+
| 0.9915 | 105.85 | 344 | 1.0901 | 0.6014 |
|
| 162 |
+
| 0.9915 | 106.77 | 347 | 1.0809 | 0.6084 |
|
| 163 |
+
| 0.8834 | 108.0 | 351 | 1.0683 | 0.6119 |
|
| 164 |
+
| 0.8834 | 108.92 | 354 | 1.0605 | 0.6224 |
|
| 165 |
+
| 0.8834 | 109.85 | 357 | 1.0563 | 0.6259 |
|
| 166 |
+
| 0.8834 | 110.77 | 360 | 1.0538 | 0.6224 |
|
| 167 |
+
| 0.8834 | 112.0 | 364 | 1.0491 | 0.6154 |
|
| 168 |
+
| 0.8834 | 112.92 | 367 | 1.0441 | 0.6119 |
|
| 169 |
+
| 0.8834 | 113.85 | 370 | 1.0358 | 0.6119 |
|
| 170 |
+
| 0.8834 | 114.77 | 373 | 1.0194 | 0.6224 |
|
| 171 |
+
| 0.8834 | 116.0 | 377 | 1.0034 | 0.6294 |
|
| 172 |
+
| 0.8834 | 116.92 | 380 | 0.9991 | 0.6259 |
|
| 173 |
+
| 0.8834 | 117.85 | 383 | 0.9960 | 0.6259 |
|
| 174 |
+
| 0.8834 | 118.77 | 386 | 0.9911 | 0.6294 |
|
| 175 |
+
| 0.8834 | 120.0 | 390 | 0.9834 | 0.6434 |
|
| 176 |
+
| 0.8834 | 120.92 | 393 | 0.9776 | 0.6434 |
|
| 177 |
+
| 0.8834 | 121.85 | 396 | 0.9773 | 0.6434 |
|
| 178 |
+
| 0.8834 | 122.77 | 399 | 0.9735 | 0.6434 |
|
| 179 |
+
| 0.7786 | 124.0 | 403 | 0.9731 | 0.6399 |
|
| 180 |
+
| 0.7786 | 124.92 | 406 | 0.9728 | 0.6434 |
|
| 181 |
+
| 0.7786 | 125.85 | 409 | 0.9657 | 0.6573 |
|
| 182 |
+
| 0.7786 | 126.77 | 412 | 0.9548 | 0.6573 |
|
| 183 |
+
| 0.7786 | 128.0 | 416 | 0.9424 | 0.6643 |
|
| 184 |
+
| 0.7786 | 128.92 | 419 | 0.9391 | 0.6678 |
|
| 185 |
+
| 0.7786 | 129.85 | 422 | 0.9418 | 0.6678 |
|
| 186 |
+
| 0.7786 | 130.77 | 425 | 0.9476 | 0.6608 |
|
| 187 |
+
| 0.7786 | 132.0 | 429 | 0.9457 | 0.6643 |
|
| 188 |
+
| 0.7786 | 132.92 | 432 | 0.9413 | 0.6643 |
|
| 189 |
+
| 0.7786 | 133.85 | 435 | 0.9334 | 0.6678 |
|
| 190 |
+
| 0.7786 | 134.77 | 438 | 0.9329 | 0.6678 |
|
| 191 |
+
| 0.7786 | 136.0 | 442 | 0.9334 | 0.6713 |
|
| 192 |
+
| 0.7786 | 136.92 | 445 | 0.9265 | 0.6713 |
|
| 193 |
+
| 0.7786 | 137.85 | 448 | 0.9187 | 0.6713 |
|
| 194 |
+
| 0.7133 | 138.77 | 451 | 0.9169 | 0.6678 |
|
| 195 |
+
| 0.7133 | 140.0 | 455 | 0.9142 | 0.6713 |
|
| 196 |
+
| 0.7133 | 140.92 | 458 | 0.9131 | 0.6713 |
|
| 197 |
+
| 0.7133 | 141.85 | 461 | 0.9161 | 0.6783 |
|
| 198 |
+
| 0.7133 | 142.77 | 464 | 0.9224 | 0.6678 |
|
| 199 |
+
| 0.7133 | 144.0 | 468 | 0.9139 | 0.6748 |
|
| 200 |
+
| 0.7133 | 144.92 | 471 | 0.9090 | 0.6748 |
|
| 201 |
+
| 0.7133 | 145.85 | 474 | 0.9073 | 0.6713 |
|
| 202 |
+
| 0.7133 | 146.77 | 477 | 0.9110 | 0.6608 |
|
| 203 |
+
| 0.7133 | 148.0 | 481 | 0.9167 | 0.6573 |
|
| 204 |
+
| 0.7133 | 148.92 | 484 | 0.9118 | 0.6643 |
|
| 205 |
+
| 0.7133 | 149.85 | 487 | 0.8996 | 0.6713 |
|
| 206 |
+
| 0.7133 | 150.77 | 490 | 0.8904 | 0.6748 |
|
| 207 |
+
| 0.7133 | 152.0 | 494 | 0.8889 | 0.6748 |
|
| 208 |
+
| 0.7133 | 152.92 | 497 | 0.8899 | 0.6713 |
|
| 209 |
+
| 0.6674 | 153.85 | 500 | 0.8874 | 0.6748 |
|
| 210 |
+
| 0.6674 | 154.77 | 503 | 0.8874 | 0.6748 |
|
| 211 |
+
| 0.6674 | 156.0 | 507 | 0.8905 | 0.6748 |
|
| 212 |
+
| 0.6674 | 156.92 | 510 | 0.8881 | 0.6783 |
|
| 213 |
+
| 0.6674 | 157.85 | 513 | 0.8829 | 0.6748 |
|
| 214 |
+
| 0.6674 | 158.77 | 516 | 0.8809 | 0.6783 |
|
| 215 |
+
| 0.6674 | 160.0 | 520 | 0.8781 | 0.6783 |
|
| 216 |
+
| 0.6674 | 160.92 | 523 | 0.8776 | 0.6818 |
|
| 217 |
+
| 0.6674 | 161.85 | 526 | 0.8796 | 0.6783 |
|
| 218 |
+
| 0.6674 | 162.77 | 529 | 0.8795 | 0.6818 |
|
| 219 |
+
| 0.6674 | 164.0 | 533 | 0.8797 | 0.6783 |
|
| 220 |
+
| 0.6674 | 164.92 | 536 | 0.8707 | 0.6783 |
|
| 221 |
+
| 0.6674 | 165.85 | 539 | 0.8697 | 0.6783 |
|
| 222 |
+
| 0.6674 | 166.77 | 542 | 0.8724 | 0.6783 |
|
| 223 |
+
| 0.6674 | 168.0 | 546 | 0.8704 | 0.6748 |
|
| 224 |
+
| 0.6674 | 168.92 | 549 | 0.8694 | 0.6748 |
|
| 225 |
+
| 0.6305 | 169.85 | 552 | 0.8740 | 0.6748 |
|
| 226 |
+
| 0.6305 | 170.77 | 555 | 0.8713 | 0.6748 |
|
| 227 |
+
| 0.6305 | 172.0 | 559 | 0.8682 | 0.6783 |
|
| 228 |
+
| 0.6305 | 172.92 | 562 | 0.8688 | 0.6783 |
|
| 229 |
+
| 0.6305 | 173.85 | 565 | 0.8693 | 0.6818 |
|
| 230 |
+
| 0.6305 | 174.77 | 568 | 0.8744 | 0.6783 |
|
| 231 |
+
| 0.6305 | 176.0 | 572 | 0.8760 | 0.6783 |
|
| 232 |
+
| 0.6305 | 176.92 | 575 | 0.8696 | 0.6853 |
|
| 233 |
+
| 0.6305 | 177.85 | 578 | 0.8669 | 0.6853 |
|
| 234 |
+
| 0.6305 | 178.77 | 581 | 0.8641 | 0.6853 |
|
| 235 |
+
| 0.6305 | 180.0 | 585 | 0.8697 | 0.6713 |
|
| 236 |
+
| 0.6305 | 180.92 | 588 | 0.8678 | 0.6748 |
|
| 237 |
+
| 0.6305 | 181.85 | 591 | 0.8621 | 0.6818 |
|
| 238 |
+
| 0.6305 | 182.77 | 594 | 0.8557 | 0.6888 |
|
| 239 |
+
| 0.6305 | 184.0 | 598 | 0.8481 | 0.6888 |
|
| 240 |
+
| 0.6095 | 184.92 | 601 | 0.8429 | 0.6888 |
|
| 241 |
+
| 0.6095 | 185.85 | 604 | 0.8413 | 0.6888 |
|
| 242 |
+
| 0.6095 | 186.77 | 607 | 0.8402 | 0.6923 |
|
| 243 |
+
| 0.6095 | 188.0 | 611 | 0.8415 | 0.6888 |
|
| 244 |
+
| 0.6095 | 188.92 | 614 | 0.8410 | 0.6923 |
|
| 245 |
+
| 0.6095 | 189.85 | 617 | 0.8389 | 0.6853 |
|
| 246 |
+
| 0.6095 | 190.77 | 620 | 0.8354 | 0.6853 |
|
| 247 |
+
| 0.6095 | 192.0 | 624 | 0.8357 | 0.6888 |
|
| 248 |
+
| 0.6095 | 192.92 | 627 | 0.8401 | 0.6958 |
|
| 249 |
+
| 0.6095 | 193.85 | 630 | 0.8449 | 0.6958 |
|
| 250 |
+
| 0.6095 | 194.77 | 633 | 0.8479 | 0.6958 |
|
| 251 |
+
| 0.6095 | 196.0 | 637 | 0.8455 | 0.6923 |
|
| 252 |
+
| 0.6095 | 196.92 | 640 | 0.8422 | 0.6923 |
|
| 253 |
+
| 0.6095 | 197.85 | 643 | 0.8425 | 0.6923 |
|
| 254 |
+
| 0.6095 | 198.77 | 646 | 0.8437 | 0.6923 |
|
| 255 |
+
| 0.5908 | 200.0 | 650 | 0.8367 | 0.6958 |
|
| 256 |
+
| 0.5908 | 200.92 | 653 | 0.8347 | 0.6993 |
|
| 257 |
+
| 0.5908 | 201.85 | 656 | 0.8287 | 0.6958 |
|
| 258 |
+
| 0.5908 | 202.77 | 659 | 0.8260 | 0.6923 |
|
| 259 |
+
| 0.5908 | 204.0 | 663 | 0.8264 | 0.6958 |
|
| 260 |
+
| 0.5908 | 204.92 | 666 | 0.8295 | 0.6958 |
|
| 261 |
+
| 0.5908 | 205.85 | 669 | 0.8302 | 0.6923 |
|
| 262 |
+
| 0.5908 | 206.77 | 672 | 0.8285 | 0.6923 |
|
| 263 |
+
| 0.5908 | 208.0 | 676 | 0.8311 | 0.6923 |
|
| 264 |
+
| 0.5908 | 208.92 | 679 | 0.8321 | 0.6923 |
|
| 265 |
+
| 0.5908 | 209.85 | 682 | 0.8306 | 0.6923 |
|
| 266 |
+
| 0.5908 | 210.77 | 685 | 0.8303 | 0.6923 |
|
| 267 |
+
| 0.5908 | 212.0 | 689 | 0.8256 | 0.6993 |
|
| 268 |
+
| 0.5908 | 212.92 | 692 | 0.8230 | 0.6958 |
|
| 269 |
+
| 0.5908 | 213.85 | 695 | 0.8194 | 0.6958 |
|
| 270 |
+
| 0.5908 | 214.77 | 698 | 0.8183 | 0.6958 |
|
| 271 |
+
| 0.5763 | 216.0 | 702 | 0.8232 | 0.6958 |
|
| 272 |
+
| 0.5763 | 216.92 | 705 | 0.8237 | 0.6888 |
|
| 273 |
+
| 0.5763 | 217.85 | 708 | 0.8196 | 0.6993 |
|
| 274 |
+
| 0.5763 | 218.77 | 711 | 0.8142 | 0.6993 |
|
| 275 |
+
| 0.5763 | 220.0 | 715 | 0.8115 | 0.6993 |
|
| 276 |
+
| 0.5763 | 220.92 | 718 | 0.8130 | 0.6993 |
|
| 277 |
+
| 0.5763 | 221.85 | 721 | 0.8156 | 0.7028 |
|
| 278 |
+
| 0.5763 | 222.77 | 724 | 0.8201 | 0.6958 |
|
| 279 |
+
| 0.5763 | 224.0 | 728 | 0.8227 | 0.6958 |
|
| 280 |
+
| 0.5763 | 224.92 | 731 | 0.8232 | 0.6958 |
|
| 281 |
+
| 0.5763 | 225.85 | 734 | 0.8198 | 0.6923 |
|
| 282 |
+
| 0.5763 | 226.77 | 737 | 0.8151 | 0.6923 |
|
| 283 |
+
| 0.5763 | 228.0 | 741 | 0.8136 | 0.6923 |
|
| 284 |
+
| 0.5763 | 228.92 | 744 | 0.8134 | 0.6923 |
|
| 285 |
+
| 0.5763 | 229.85 | 747 | 0.8123 | 0.6958 |
|
| 286 |
+
| 0.57 | 230.77 | 750 | 0.8095 | 0.6958 |
|
| 287 |
+
| 0.57 | 232.0 | 754 | 0.8082 | 0.6958 |
|
| 288 |
+
| 0.57 | 232.92 | 757 | 0.8084 | 0.6958 |
|
| 289 |
+
| 0.57 | 233.85 | 760 | 0.8114 | 0.6923 |
|
| 290 |
+
| 0.57 | 234.77 | 763 | 0.8130 | 0.6923 |
|
| 291 |
+
| 0.57 | 236.0 | 767 | 0.8154 | 0.6923 |
|
| 292 |
+
| 0.57 | 236.92 | 770 | 0.8160 | 0.6923 |
|
| 293 |
+
| 0.57 | 237.85 | 773 | 0.8126 | 0.6888 |
|
| 294 |
+
| 0.57 | 238.77 | 776 | 0.8114 | 0.6888 |
|
| 295 |
+
| 0.57 | 240.0 | 780 | 0.8041 | 0.6923 |
|
| 296 |
+
| 0.57 | 240.92 | 783 | 0.8006 | 0.6923 |
|
| 297 |
+
| 0.57 | 241.85 | 786 | 0.7987 | 0.6958 |
|
| 298 |
+
| 0.57 | 242.77 | 789 | 0.7977 | 0.6993 |
|
| 299 |
+
| 0.57 | 244.0 | 793 | 0.8001 | 0.6993 |
|
| 300 |
+
| 0.57 | 244.92 | 796 | 0.8044 | 0.6958 |
|
| 301 |
+
| 0.57 | 245.85 | 799 | 0.8082 | 0.6958 |
|
| 302 |
+
| 0.5456 | 246.77 | 802 | 0.8121 | 0.6888 |
|
| 303 |
+
| 0.5456 | 248.0 | 806 | 0.8107 | 0.6888 |
|
| 304 |
+
| 0.5456 | 248.92 | 809 | 0.8064 | 0.6958 |
|
| 305 |
+
| 0.5456 | 249.85 | 812 | 0.8042 | 0.6958 |
|
| 306 |
+
| 0.5456 | 250.77 | 815 | 0.8006 | 0.6958 |
|
| 307 |
+
| 0.5456 | 252.0 | 819 | 0.7969 | 0.6958 |
|
| 308 |
+
| 0.5456 | 252.92 | 822 | 0.7955 | 0.6993 |
|
| 309 |
+
| 0.5456 | 253.85 | 825 | 0.7973 | 0.6958 |
|
| 310 |
+
| 0.5456 | 254.77 | 828 | 0.8001 | 0.6958 |
|
| 311 |
+
| 0.5456 | 256.0 | 832 | 0.8035 | 0.6888 |
|
| 312 |
+
| 0.5456 | 256.92 | 835 | 0.8035 | 0.6853 |
|
| 313 |
+
| 0.5456 | 257.85 | 838 | 0.8012 | 0.6923 |
|
| 314 |
+
| 0.5456 | 258.77 | 841 | 0.8000 | 0.6923 |
|
| 315 |
+
| 0.5456 | 260.0 | 845 | 0.7963 | 0.6888 |
|
| 316 |
+
| 0.5456 | 260.92 | 848 | 0.7928 | 0.6958 |
|
| 317 |
+
| 0.5369 | 261.85 | 851 | 0.7919 | 0.6923 |
|
| 318 |
+
| 0.5369 | 262.77 | 854 | 0.7913 | 0.6888 |
|
| 319 |
+
| 0.5369 | 264.0 | 858 | 0.7929 | 0.6888 |
|
| 320 |
+
| 0.5369 | 264.92 | 861 | 0.7955 | 0.6818 |
|
| 321 |
+
| 0.5369 | 265.85 | 864 | 0.7963 | 0.6853 |
|
| 322 |
+
| 0.5369 | 266.77 | 867 | 0.7952 | 0.6888 |
|
| 323 |
+
| 0.5369 | 268.0 | 871 | 0.7936 | 0.6888 |
|
| 324 |
+
| 0.5369 | 268.92 | 874 | 0.7929 | 0.6853 |
|
| 325 |
+
| 0.5369 | 269.85 | 877 | 0.7933 | 0.6853 |
|
| 326 |
+
| 0.5369 | 270.77 | 880 | 0.7941 | 0.6853 |
|
| 327 |
+
| 0.5369 | 272.0 | 884 | 0.7940 | 0.6853 |
|
| 328 |
+
| 0.5369 | 272.92 | 887 | 0.7929 | 0.6853 |
|
| 329 |
+
| 0.5369 | 273.85 | 890 | 0.7930 | 0.6853 |
|
| 330 |
+
| 0.5369 | 274.77 | 893 | 0.7943 | 0.6853 |
|
| 331 |
+
| 0.5369 | 276.0 | 897 | 0.7944 | 0.6853 |
|
| 332 |
+
| 0.5388 | 276.92 | 900 | 0.7933 | 0.6853 |
|
| 333 |
+
| 0.5388 | 277.85 | 903 | 0.7914 | 0.6853 |
|
| 334 |
+
| 0.5388 | 278.77 | 906 | 0.7904 | 0.6853 |
|
| 335 |
+
| 0.5388 | 280.0 | 910 | 0.7888 | 0.6853 |
|
| 336 |
+
| 0.5388 | 280.92 | 913 | 0.7900 | 0.6853 |
|
| 337 |
+
| 0.5388 | 281.85 | 916 | 0.7906 | 0.6853 |
|
| 338 |
+
| 0.5388 | 282.77 | 919 | 0.7911 | 0.6853 |
|
| 339 |
+
| 0.5388 | 284.0 | 923 | 0.7907 | 0.6853 |
|
| 340 |
+
| 0.5388 | 284.92 | 926 | 0.7907 | 0.6853 |
|
| 341 |
+
| 0.5388 | 285.85 | 929 | 0.7905 | 0.6818 |
|
| 342 |
+
| 0.5388 | 286.77 | 932 | 0.7900 | 0.6818 |
|
| 343 |
+
| 0.5388 | 288.0 | 936 | 0.7901 | 0.6853 |
|
| 344 |
+
| 0.5388 | 288.92 | 939 | 0.7902 | 0.6853 |
|
| 345 |
+
| 0.5388 | 289.85 | 942 | 0.7910 | 0.6853 |
|
| 346 |
+
| 0.5388 | 290.77 | 945 | 0.7914 | 0.6888 |
|
| 347 |
+
| 0.5388 | 292.0 | 949 | 0.7920 | 0.6888 |
|
| 348 |
+
| 0.5261 | 292.92 | 952 | 0.7928 | 0.6853 |
|
| 349 |
+
| 0.5261 | 293.85 | 955 | 0.7932 | 0.6888 |
|
| 350 |
+
| 0.5261 | 294.77 | 958 | 0.7925 | 0.6888 |
|
| 351 |
+
| 0.5261 | 296.0 | 962 | 0.7922 | 0.6888 |
|
| 352 |
+
| 0.5261 | 296.92 | 965 | 0.7919 | 0.6888 |
|
| 353 |
+
| 0.5261 | 297.85 | 968 | 0.7922 | 0.6888 |
|
| 354 |
+
| 0.5261 | 298.77 | 971 | 0.7921 | 0.6888 |
|
| 355 |
+
| 0.5261 | 300.0 | 975 | 0.7912 | 0.6853 |
|
| 356 |
+
| 0.5261 | 300.92 | 978 | 0.7907 | 0.6853 |
|
| 357 |
+
| 0.5261 | 301.85 | 981 | 0.7896 | 0.6853 |
|
| 358 |
+
| 0.5261 | 302.77 | 984 | 0.7885 | 0.6888 |
|
| 359 |
+
| 0.5261 | 304.0 | 988 | 0.7877 | 0.6888 |
|
| 360 |
+
| 0.5261 | 304.92 | 991 | 0.7874 | 0.6888 |
|
| 361 |
+
| 0.5261 | 305.85 | 994 | 0.7876 | 0.6888 |
|
| 362 |
+
| 0.5261 | 306.77 | 997 | 0.7879 | 0.6888 |
|
| 363 |
+
| 0.5188 | 308.0 | 1001 | 0.7884 | 0.6888 |
|
| 364 |
+
| 0.5188 | 308.92 | 1004 | 0.7887 | 0.6888 |
|
| 365 |
+
| 0.5188 | 309.85 | 1007 | 0.7890 | 0.6888 |
|
| 366 |
+
| 0.5188 | 310.77 | 1010 | 0.7894 | 0.6888 |
|
| 367 |
+
| 0.5188 | 312.0 | 1014 | 0.7899 | 0.6888 |
|
| 368 |
+
| 0.5188 | 312.92 | 1017 | 0.7904 | 0.6888 |
|
| 369 |
+
| 0.5188 | 313.85 | 1020 | 0.7907 | 0.6923 |
|
| 370 |
+
| 0.5188 | 314.77 | 1023 | 0.7910 | 0.6923 |
|
| 371 |
+
| 0.5188 | 316.0 | 1027 | 0.7912 | 0.6923 |
|
| 372 |
+
| 0.5188 | 316.92 | 1030 | 0.7912 | 0.6923 |
|
| 373 |
+
| 0.5188 | 317.85 | 1033 | 0.7912 | 0.6923 |
|
| 374 |
+
| 0.5188 | 318.77 | 1036 | 0.7913 | 0.6923 |
|
| 375 |
+
| 0.5188 | 320.0 | 1040 | 0.7913 | 0.6923 |
|
| 376 |
+
| 0.5188 | 320.92 | 1043 | 0.7912 | 0.6923 |
|
| 377 |
+
| 0.5188 | 321.85 | 1046 | 0.7912 | 0.6923 |
|
| 378 |
+
| 0.5188 | 322.77 | 1049 | 0.7911 | 0.6923 |
|
| 379 |
+
| 0.5194 | 323.08 | 1050 | 0.7911 | 0.6923 |
|
| 380 |
+
|
| 381 |
+
|
| 382 |
+
### Framework versions
|
| 383 |
+
|
| 384 |
+
- Transformers 4.39.0.dev0
|
| 385 |
+
- Pytorch 2.2.1+cu121
|
| 386 |
+
- Datasets 2.17.1
|
| 387 |
+
- Tokenizers 0.15.2
|
all_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 323.08,
|
| 3 |
+
"eval_accuracy": 0.7027972027972028,
|
| 4 |
+
"eval_loss": 0.8156144022941589,
|
| 5 |
+
"eval_runtime": 5.0661,
|
| 6 |
+
"eval_samples_per_second": 56.453,
|
| 7 |
+
"eval_steps_per_second": 0.592,
|
| 8 |
+
"train_loss": 0.8143934268043155,
|
| 9 |
+
"train_runtime": 4784.9132,
|
| 10 |
+
"train_samples_per_second": 113.231,
|
| 11 |
+
"train_steps_per_second": 0.219
|
| 12 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,124 @@
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"model_type": "wav2vec2",
|
| 86 |
+
"num_adapter_layers": 3,
|
| 87 |
+
"num_attention_heads": 6,
|
| 88 |
+
"num_codevector_groups": 2,
|
| 89 |
+
"num_codevectors_per_group": 320,
|
| 90 |
+
"num_conv_pos_embedding_groups": 16,
|
| 91 |
+
"num_conv_pos_embeddings": 128,
|
| 92 |
+
"num_feat_extract_layers": 7,
|
| 93 |
+
"num_hidden_layers": 6,
|
| 94 |
+
"num_negatives": 100,
|
| 95 |
+
"output_hidden_size": 384,
|
| 96 |
+
"pad_token_id": 0,
|
| 97 |
+
"proj_codevector_dim": 128,
|
| 98 |
+
"tdnn_dilation": [
|
| 99 |
+
1,
|
| 100 |
+
2,
|
| 101 |
+
3,
|
| 102 |
+
1,
|
| 103 |
+
1
|
| 104 |
+
],
|
| 105 |
+
"tdnn_dim": [
|
| 106 |
+
512,
|
| 107 |
+
512,
|
| 108 |
+
512,
|
| 109 |
+
512,
|
| 110 |
+
1500
|
| 111 |
+
],
|
| 112 |
+
"tdnn_kernel": [
|
| 113 |
+
5,
|
| 114 |
+
3,
|
| 115 |
+
3,
|
| 116 |
+
1,
|
| 117 |
+
1
|
| 118 |
+
],
|
| 119 |
+
"torch_dtype": "float32",
|
| 120 |
+
"transformers_version": "4.39.0.dev0",
|
| 121 |
+
"use_weighted_layer_sum": false,
|
| 122 |
+
"vocab_size": 32,
|
| 123 |
+
"xvector_output_dim": 512
|
| 124 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
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"epoch": 323.08,
|
| 3 |
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"eval_accuracy": 0.7027972027972028,
|
| 4 |
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"eval_loss": 0.8156144022941589,
|
| 5 |
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"eval_runtime": 5.0661,
|
| 6 |
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"eval_samples_per_second": 56.453,
|
| 7 |
+
"eval_steps_per_second": 0.592
|
| 8 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:429195c8c73df7eab4c2c253119a3c88a67a1708c472bece1c0b063064fa1fdb
|
| 3 |
+
size 52151348
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,9 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_normalize": true,
|
| 3 |
+
"feature_extractor_type": "Wav2Vec2FeatureExtractor",
|
| 4 |
+
"feature_size": 1,
|
| 5 |
+
"padding_side": "right",
|
| 6 |
+
"padding_value": 0.0,
|
| 7 |
+
"return_attention_mask": true,
|
| 8 |
+
"sampling_rate": 16000
|
| 9 |
+
}
|
pytorch_model.bin
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 52182770
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runs/Jun19_18-32-08_ml6.hpc.uio.no/events.out.tfevents.1718814757.ml6.hpc.uio.no.3740755.0
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 84305
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runs/Jun19_19-59-24_ml6.hpc.uio.no/events.out.tfevents.1718819982.ml6.hpc.uio.no.3789351.0
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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size 115612
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runs/Jun19_19-59-24_ml6.hpc.uio.no/events.out.tfevents.1718824779.ml6.hpc.uio.no.3789351.1
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 411
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runs/Jun19_21-46-15_ml6.hpc.uio.no/events.out.tfevents.1718826395.ml6.hpc.uio.no.3855193.0
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 7043
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runs/May04_11-28-58_ml6.hpc.uio.no/events.out.tfevents.1714815008.ml6.hpc.uio.no.725046.0
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version https://git-lfs.github.com/spec/v1
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size 7663
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runs/May04_11-33-59_ml6.hpc.uio.no/events.out.tfevents.1714815251.ml6.hpc.uio.no.727136.0
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 101497
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train_results.json
ADDED
|
@@ -0,0 +1,7 @@
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|
|
|
|
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| 1 |
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{
|
| 2 |
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"epoch": 323.08,
|
| 3 |
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"train_loss": 0.8143934268043155,
|
| 4 |
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"train_runtime": 4784.9132,
|
| 5 |
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"train_samples_per_second": 113.231,
|
| 6 |
+
"train_steps_per_second": 0.219
|
| 7 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,3093 @@
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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