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wav2vec2-pretraining-demo

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Safetensors
wav2vec2
pretraining
Generated from Trainer
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ekunish commited on
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End of training

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Files changed (3) hide show
  1. README.md +27 -27
  2. model.safetensors +1 -1
  3. runs/Feb06_01-52-36_6be9d2e23d10/events.out.tfevents.1738806802.6be9d2e23d10.12768.0 +2 -2
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the librispeech_asr dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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- - Constrast Loss: 749.5483
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  - Div Loss: nan
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  ## Model description
@@ -51,32 +51,32 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Constrast Loss | Div Loss |
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  |:-------------:|:------:|:----:|:---------------:|:--------------:|:--------:|
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- | 219.8029 | 0.3745 | 100 | nan | 761.2074 | nan |
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- | 363.6002 | 0.7491 | 200 | nan | 745.2168 | nan |
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- | 410.9734 | 1.1236 | 300 | nan | 736.6247 | nan |
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- | 516.6896 | 1.4981 | 400 | nan | 729.1328 | nan |
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- | 447.1916 | 1.8727 | 500 | nan | 724.2535 | nan |
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- | 991.6509 | 2.2472 | 600 | nan | 744.3330 | nan |
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- | 921.3181 | 2.6217 | 700 | nan | 741.7556 | nan |
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- | 453.8343 | 2.9963 | 800 | nan | 729.1232 | nan |
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- | 349.1257 | 3.3708 | 900 | nan | 727.2217 | nan |
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- | 342.4185 | 3.7453 | 1000 | nan | 730.2246 | nan |
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- | 524.263 | 4.1199 | 1100 | nan | 722.7736 | nan |
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- | 559.5258 | 4.4944 | 1200 | nan | 741.2823 | nan |
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- | 585.7782 | 4.8689 | 1300 | nan | 747.9285 | nan |
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- | 960.5108 | 5.2434 | 1400 | nan | 732.7294 | nan |
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- | 1073.0346 | 5.6180 | 1500 | nan | 764.7153 | nan |
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- | 449.7951 | 5.9925 | 1600 | nan | 743.8020 | nan |
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- | 371.2964 | 6.3670 | 1700 | nan | 739.3767 | nan |
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- | 359.0735 | 6.7416 | 1800 | nan | 746.6442 | nan |
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- | 632.9437 | 7.1161 | 1900 | nan | 754.3399 | nan |
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- | 517.3832 | 7.4906 | 2000 | nan | 711.9412 | nan |
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- | 482.2333 | 7.8652 | 2100 | nan | 706.3737 | nan |
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- | 939.8626 | 8.2397 | 2200 | nan | 757.2895 | nan |
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- | 992.2978 | 8.6142 | 2300 | nan | 741.9764 | nan |
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- | 517.6842 | 8.9888 | 2400 | nan | 744.0576 | nan |
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- | 365.4458 | 9.3633 | 2500 | nan | 749.9068 | nan |
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- | 375.0039 | 9.7378 | 2600 | nan | 749.5483 | nan |
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  ### Framework versions
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the librispeech_asr dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: nan
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+ - Constrast Loss: 708.2256
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  - Div Loss: nan
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Constrast Loss | Div Loss |
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  |:-------------:|:------:|:----:|:---------------:|:--------------:|:--------:|
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+ | 343.7458 | 0.3745 | 100 | nan | 706.8953 | nan |
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+ | 360.8719 | 0.7491 | 200 | nan | 709.1356 | nan |
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+ | 561.7222 | 1.1236 | 300 | nan | 725.8750 | nan |
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+ | 450.0023 | 1.4981 | 400 | nan | 704.0518 | nan |
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+ | 412.6041 | 1.8727 | 500 | nan | 702.4941 | nan |
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+ | 955.4866 | 2.2472 | 600 | nan | 717.8548 | nan |
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+ | 947.9007 | 2.6217 | 700 | 775.8956 | 763.6932 | 122.0238 |
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+ | 487.9696 | 2.9963 | 800 | nan | 706.2196 | nan |
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+ | 359.6353 | 3.3708 | 900 | nan | 727.8684 | nan |
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+ | 299.9773 | 3.7453 | 1000 | nan | 689.3754 | nan |
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+ | 557.0656 | 4.1199 | 1100 | nan | 741.6811 | nan |
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+ | 625.427 | 4.4944 | 1200 | nan | 669.9859 | nan |
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+ | 486.9457 | 4.8689 | 1300 | nan | 725.6080 | nan |
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+ | 1067.3776 | 5.2434 | 1400 | nan | 703.2175 | nan |
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+ | 958.6181 | 5.6180 | 1500 | nan | 742.9335 | nan |
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+ | 482.8976 | 5.9925 | 1600 | nan | 724.2250 | nan |
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+ | 350.0361 | 6.3670 | 1700 | nan | 715.3557 | nan |
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+ | 350.6836 | 6.7416 | 1800 | nan | 711.0261 | nan |
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+ | 522.1924 | 7.1161 | 1900 | nan | 702.5721 | nan |
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+ | 483.4517 | 7.4906 | 2000 | nan | 741.1333 | nan |
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+ | 590.2781 | 7.8652 | 2100 | nan | 728.1261 | nan |
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+ | 1039.0322 | 8.2397 | 2200 | nan | 720.8858 | nan |
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+ | 1146.0051 | 8.6142 | 2300 | nan | 717.9496 | nan |
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+ | 626.2248 | 8.9888 | 2400 | nan | 712.2637 | nan |
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+ | 371.0907 | 9.3633 | 2500 | nan | 727.3933 | nan |
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+ | 362.5648 | 9.7378 | 2600 | nan | 708.2256 | nan |
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  ### Framework versions
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