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--- |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- experiments/data/atcosim_uwb_atcc/train |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: 0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc |
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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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# 0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc |
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the EXPERIMENTS/DATA/ATCOSIM_UWB_ATCC/TRAIN - NA dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5595 |
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- Wer: 0.1687 |
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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: 0.0001 |
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- train_batch_size: 24 |
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- eval_batch_size: 12 |
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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_steps: 1000 |
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- training_steps: 10000 |
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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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| No log | 0.63 | 500 | 3.0458 | 1.0 | |
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| 2.9181 | 1.27 | 1000 | 1.1503 | 0.4723 | |
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| 2.9181 | 1.9 | 1500 | 0.8275 | 0.3500 | |
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| 0.7646 | 2.53 | 2000 | 0.6990 | 0.2845 | |
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| 0.7646 | 3.17 | 2500 | 0.5828 | 0.2509 | |
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| 0.5394 | 3.8 | 3000 | 0.5363 | 0.2487 | |
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| 0.5394 | 4.44 | 3500 | 0.5467 | 0.2171 | |
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| 0.4558 | 5.07 | 4000 | 0.5290 | 0.2090 | |
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| 0.4558 | 5.7 | 4500 | 0.4992 | 0.2046 | |
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| 0.3773 | 6.34 | 5000 | 0.4934 | 0.2052 | |
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| 0.3773 | 6.97 | 5500 | 0.4700 | 0.1983 | |
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| 0.3301 | 7.6 | 6000 | 0.4938 | 0.1874 | |
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| 0.3301 | 8.24 | 6500 | 0.5364 | 0.1893 | |
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| 0.2938 | 8.87 | 7000 | 0.5170 | 0.1830 | |
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| 0.2938 | 9.51 | 7500 | 0.5408 | 0.1815 | |
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| 0.2674 | 10.14 | 8000 | 0.5581 | 0.1733 | |
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| 0.2674 | 10.77 | 8500 | 0.5389 | 0.1719 | |
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| 0.24 | 11.41 | 9000 | 0.5344 | 0.1714 | |
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| 0.24 | 12.04 | 9500 | 0.5503 | 0.1686 | |
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| 0.211 | 12.67 | 10000 | 0.5595 | 0.1687 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.2 |
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