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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- common_voice_13_0 |
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metrics: |
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- wer |
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model-index: |
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- name: DeCRED_small_cv |
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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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# DeCRED_small_cv |
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This model is a fine-tuned version of [](https://huggingface.co/) on the common_voice_13_0 dataset. |
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It achieves the following results on the evaluation set: |
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- Cer: 0.0855 |
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- Deletions: 4133 |
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- Hits: 123172 |
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- Insertions: 3671 |
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- Loss: 1.1174 |
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- Mer: 0.1889 |
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- Substitutions: 20876 |
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- Wer: 0.1935 |
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- Wil: 0.3069 |
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- Wip: 0.6931 |
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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: 0.002 |
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- train_batch_size: 256 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 256 |
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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: 10000 |
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- num_epochs: 20.0 |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Deletions | Hits | Insertions | Validation Loss | Mer | Substitutions | Wer | Wil | Wip | |
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|:-------------:|:-----:|:-----:|:------:|:---------:|:------:|:----------:|:---------------:|:------:|:-------------:|:------:|:------:|:------:| |
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| 1.3459 | 5.0 | 7445 | 0.1676 | 7277 | 102705 | 6830 | 1.5193 | 0.3374 | 38199 | 0.3530 | 0.5182 | 0.4818 | |
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| 1.3006 | 6.0 | 8934 | 0.1584 | 6381 | 105485 | 7074 | 1.4779 | 0.3206 | 36315 | 0.3359 | 0.4956 | 0.5044 | |
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| 1.7549 | 7.0 | 10423 | 0.1620 | 6967 | 104307 | 6557 | 1.4874 | 0.3259 | 36907 | 0.3403 | 0.5031 | 0.4969 | |
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| 1.5621 | 8.0 | 11912 | 0.1361 | 5203 | 111002 | 6489 | 1.3687 | 0.2823 | 31976 | 0.2947 | 0.4437 | 0.5563 | |
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| 1.4988 | 9.0 | 13401 | 0.1298 | 5025 | 112303 | 6136 | 1.3308 | 0.2723 | 30853 | 0.2835 | 0.4299 | 0.5701 | |
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| 1.4495 | 10.0 | 14890 | 0.1212 | 5505 | 113957 | 5063 | 1.2901 | 0.2564 | 28719 | 0.2651 | 0.4068 | 0.5932 | |
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| 1.4092 | 11.0 | 16379 | 0.1158 | 5162 | 115248 | 4910 | 1.2625 | 0.2472 | 27771 | 0.2554 | 0.3941 | 0.6059 | |
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| 1.3638 | 12.0 | 17868 | 0.1088 | 4408 | 117314 | 5173 | 1.2336 | 0.2350 | 26459 | 0.2432 | 0.3764 | 0.6236 | |
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| 1.335 | 13.0 | 19357 | 0.1060 | 4868 | 117783 | 4467 | 1.2177 | 0.2284 | 25530 | 0.2353 | 0.3665 | 0.6335 | |
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| 1.2966 | 14.0 | 20846 | 0.1006 | 4561 | 119385 | 4599 | 1.1945 | 0.2186 | 24235 | 0.2254 | 0.3511 | 0.6489 | |
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| 1.2826 | 15.0 | 22335 | 0.0969 | 4455 | 119983 | 4111 | 1.1767 | 0.2122 | 23743 | 0.2180 | 0.3429 | 0.6571 | |
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| 1.2529 | 16.0 | 23824 | 0.0954 | 4229 | 120627 | 4312 | 1.1664 | 0.2090 | 23325 | 0.2150 | 0.3377 | 0.6623 | |
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| 1.2103 | 17.0 | 25313 | 0.0907 | 4218 | 121711 | 3998 | 1.1458 | 0.2002 | 22252 | 0.2056 | 0.3244 | 0.6756 | |
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| 1.18 | 18.0 | 26802 | 0.0891 | 4153 | 122139 | 3883 | 1.1355 | 0.1968 | 21889 | 0.2019 | 0.3194 | 0.6806 | |
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| 1.1529 | 19.0 | 28291 | 0.0864 | 4132 | 122860 | 3681 | 1.1236 | 0.1910 | 21189 | 0.1957 | 0.3105 | 0.6895 | |
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| 1.1342 | 20.0 | 29780 | 0.0855 | 4133 | 123172 | 3671 | 1.1174 | 0.1889 | 20876 | 0.1935 | 0.3069 | 0.6931 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.0+rocm5.6 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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### Wandb run |
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https://wandb.ai/butspeechfit/decred_commonvoice_en/runs/DeCRED_small_cv_restart |
