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--- |
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license: apache-2.0 |
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tags: |
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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-conformer-rel-pos-large-960h-ft-intent-classification-ori |
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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-conformer-rel-pos-large-960h-ft-intent-classification-ori |
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This model is a fine-tuned version of [facebook/wav2vec2-conformer-rel-pos-large-960h-ft](https://huggingface.co/facebook/wav2vec2-conformer-rel-pos-large-960h-ft) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2518 |
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- Accuracy: 0.5833 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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: 45 |
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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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| 2.2018 | 1.0 | 28 | 2.1963 | 0.125 | |
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| 2.1871 | 2.0 | 56 | 2.1715 | 0.3333 | |
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| 2.1499 | 3.0 | 84 | 2.1349 | 0.3333 | |
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| 2.1236 | 4.0 | 112 | 2.0749 | 0.3333 | |
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| 2.0814 | 5.0 | 140 | 2.0232 | 0.3333 | |
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| 2.0905 | 6.0 | 168 | 1.9028 | 0.375 | |
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| 1.9167 | 7.0 | 196 | 1.8469 | 0.3958 | |
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| 1.7048 | 8.0 | 224 | 1.6481 | 0.4583 | |
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| 1.4723 | 9.0 | 252 | 1.5350 | 0.4583 | |
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| 1.5265 | 10.0 | 280 | 1.4526 | 0.5 | |
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| 1.2621 | 11.0 | 308 | 1.4451 | 0.4583 | |
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| 1.5083 | 12.0 | 336 | 1.3296 | 0.4792 | |
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| 1.1857 | 13.0 | 364 | 1.2983 | 0.4792 | |
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| 1.3449 | 14.0 | 392 | 1.3026 | 0.4792 | |
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| 1.2061 | 15.0 | 420 | 1.3181 | 0.4792 | |
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| 1.2544 | 16.0 | 448 | 1.2603 | 0.4792 | |
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| 1.0731 | 17.0 | 476 | 1.2607 | 0.4792 | |
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| 0.8836 | 18.0 | 504 | 1.2644 | 0.4792 | |
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| 1.0917 | 19.0 | 532 | 1.2345 | 0.4792 | |
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| 1.0786 | 20.0 | 560 | 1.2791 | 0.4792 | |
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| 1.1616 | 21.0 | 588 | 1.2238 | 0.4792 | |
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| 1.0614 | 22.0 | 616 | 1.2305 | 0.4583 | |
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| 0.9617 | 23.0 | 644 | 1.2315 | 0.4792 | |
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| 0.9652 | 24.0 | 672 | 1.2931 | 0.4792 | |
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| 0.9042 | 25.0 | 700 | 1.1246 | 0.5 | |
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| 1.0865 | 26.0 | 728 | 1.1490 | 0.4792 | |
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| 0.9653 | 27.0 | 756 | 1.1713 | 0.5 | |
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| 0.858 | 28.0 | 784 | 1.1726 | 0.5208 | |
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| 0.8364 | 29.0 | 812 | 1.2142 | 0.5 | |
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| 0.6798 | 30.0 | 840 | 1.2163 | 0.5208 | |
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| 0.9284 | 31.0 | 868 | 1.1398 | 0.4792 | |
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| 0.7383 | 32.0 | 896 | 1.2418 | 0.5208 | |
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| 0.651 | 33.0 | 924 | 1.1734 | 0.5 | |
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| 0.7416 | 34.0 | 952 | 1.2285 | 0.5 | |
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| 0.6287 | 35.0 | 980 | 1.1467 | 0.5833 | |
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| 0.6806 | 36.0 | 1008 | 1.1589 | 0.5625 | |
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| 0.6148 | 37.0 | 1036 | 1.1373 | 0.5833 | |
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| 0.7174 | 38.0 | 1064 | 1.2118 | 0.5625 | |
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| 0.6056 | 39.0 | 1092 | 1.2205 | 0.5833 | |
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| 0.7041 | 40.0 | 1120 | 1.2408 | 0.5833 | |
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| 0.631 | 41.0 | 1148 | 1.2350 | 0.5833 | |
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| 0.6028 | 42.0 | 1176 | 1.2787 | 0.5833 | |
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| 0.5942 | 43.0 | 1204 | 1.2463 | 0.5833 | |
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| 0.5441 | 44.0 | 1232 | 1.2496 | 0.5833 | |
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| 0.5042 | 45.0 | 1260 | 1.2518 | 0.5833 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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