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oza75
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bambara-vqvae

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Bambara
bm_speech_vq_vae
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oza75/bambara-vqvae

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  1. README.md +274 -0
  2. config.json +26 -0
  3. model.safetensors +3 -0
  4. runs/May26_20-07-50_8f6447f3a685/events.out.tfevents.1716754076.8f6447f3a685 +3 -0
  5. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ language:
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+ - bm
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bambara-vqvae
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+ results: []
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+ ---
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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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+
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+ # bambara-vqvae
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+
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+ This model was trained from scratch on the oza75/bambara-tts dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5621
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+ - Mse: 0.0441
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+ - Snr: 21.0636
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 128
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+ - eval_batch_size: 64
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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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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Mse | Snr |
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+ |:-------------:|:-------:|:-----:|:---------------:|:------:|:-------:|
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+ | 4.8671 | 0.4630 | 100 | 4.7616 | 0.0956 | 17.7057 |
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+ | 4.5386 | 0.9259 | 200 | 4.5686 | 0.0972 | 17.6335 |
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+ | 4.3309 | 1.3889 | 300 | 5.1175 | 0.0859 | 18.1749 |
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+ | 3.9055 | 1.8519 | 400 | 3.6748 | 0.0930 | 17.8268 |
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+ | 3.5462 | 2.3148 | 500 | 3.9152 | 0.0950 | 17.7360 |
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+ | 3.363 | 2.7778 | 600 | 2.7866 | 0.0905 | 17.9436 |
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+ | 3.2075 | 3.2407 | 700 | 3.7970 | 0.0883 | 18.0506 |
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+ | 3.1522 | 3.7037 | 800 | 3.0179 | 0.0886 | 18.0392 |
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+ | 2.9735 | 4.1667 | 900 | 4.4034 | 0.0810 | 18.4270 |
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+ | 2.9057 | 4.6296 | 1000 | 2.4479 | 0.0832 | 18.3087 |
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+ | 2.9167 | 5.0926 | 1100 | 2.3498 | 0.0879 | 18.0715 |
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+ | 2.6331 | 5.5556 | 1200 | 2.4513 | 0.0878 | 18.0789 |
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+ | 2.6169 | 6.0185 | 1300 | 2.0518 | 0.0843 | 18.2525 |
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+ | 2.5604 | 6.4815 | 1400 | 2.1794 | 0.0771 | 18.6442 |
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+ | 2.3571 | 6.9444 | 1500 | 2.1198 | 0.0755 | 18.7310 |
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+ | 2.1271 | 7.4074 | 1600 | 2.5908 | 0.0789 | 18.5391 |
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+ | 2.1477 | 7.8704 | 1700 | 2.5674 | 0.0746 | 18.7879 |
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+ | 2.0593 | 8.3333 | 1800 | 2.3501 | 0.0746 | 18.7838 |
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+ | 1.9987 | 8.7963 | 1900 | 2.0077 | 0.0645 | 19.4190 |
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+ | 2.0554 | 9.2593 | 2000 | 1.8095 | 0.0760 | 18.7045 |
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+ | 1.9182 | 9.7222 | 2100 | 1.8944 | 0.0640 | 19.4540 |
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+ | 1.8437 | 10.1852 | 2200 | 1.6660 | 0.0592 | 19.7857 |
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+ | 1.8262 | 10.6481 | 2300 | 2.0191 | 0.0614 | 19.6274 |
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+ | 1.9519 | 11.1111 | 2400 | 1.6278 | 0.0652 | 19.3679 |
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+ | 2.0337 | 11.5741 | 2500 | 2.1123 | 0.0613 | 19.6387 |
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+ | 2.1823 | 12.0370 | 2600 | 1.9423 | 0.0627 | 19.5405 |
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+ | 2.3532 | 12.5 | 2700 | 2.3935 | 0.0650 | 19.3812 |
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+ | 2.4301 | 12.9630 | 2800 | 2.3374 | 0.0712 | 18.9884 |
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+ | 2.5901 | 13.4259 | 2900 | 2.5515 | 0.0650 | 19.3858 |
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+ | 2.5238 | 13.8889 | 3000 | 2.8894 | 0.0626 | 19.5469 |
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+ | 2.4095 | 14.3519 | 3100 | 2.5859 | 0.0620 | 19.5864 |
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+ | 2.3416 | 14.8148 | 3200 | 2.6629 | 0.0639 | 19.4582 |
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+ | 2.2236 | 15.2778 | 3300 | 2.2810 | 0.0628 | 19.5334 |
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+ | 2.2794 | 15.7407 | 3400 | 2.3351 | 0.0629 | 19.5267 |
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+ | 2.283 | 16.2037 | 3500 | 1.9756 | 0.0684 | 19.1625 |
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+ | 2.3028 | 16.6667 | 3600 | 2.0231 | 0.0646 | 19.4107 |
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+ | 2.2763 | 17.1296 | 3700 | 2.3012 | 0.0654 | 19.3539 |
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+ | 2.0332 | 17.5926 | 3800 | 2.1426 | 0.0594 | 19.7712 |
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+ | 1.9263 | 18.0556 | 3900 | 1.9053 | 0.0630 | 19.5177 |
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+ | 2.0636 | 18.5185 | 4000 | 1.8481 | 0.0640 | 19.4531 |
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+ | 1.8676 | 18.9815 | 4100 | 1.8974 | 0.0590 | 19.8004 |
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+ | 1.8779 | 19.4444 | 4200 | 2.2541 | 0.0549 | 20.1192 |
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+ | 1.8702 | 19.9074 | 4300 | 2.1981 | 0.0582 | 19.8627 |
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+ | 1.8691 | 20.3704 | 4400 | 1.9649 | 0.0604 | 19.7007 |
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+ | 1.8502 | 20.8333 | 4500 | 1.7129 | 0.0608 | 19.6731 |
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+ | 1.5922 | 21.2963 | 4600 | 1.5730 | 0.0581 | 19.8731 |
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+ | 1.549 | 21.7593 | 4700 | 1.4156 | 0.0633 | 19.5011 |
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+ | 1.5809 | 22.2222 | 4800 | 1.4624 | 0.0622 | 19.5714 |
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+ | 1.4754 | 22.6852 | 4900 | 1.3217 | 0.0596 | 19.7625 |
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+ | 1.4417 | 23.1481 | 5000 | 1.6220 | 0.0587 | 19.8262 |
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+ | 1.5053 | 23.6111 | 5100 | 1.6476 | 0.0550 | 20.1102 |
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+ | 1.4686 | 24.0741 | 5200 | 1.4523 | 0.0595 | 19.7643 |
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+ | 1.3764 | 24.5370 | 5300 | 1.7580 | 0.0544 | 20.1585 |
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+ | 1.3844 | 25.0 | 5400 | 1.3904 | 0.0571 | 19.9453 |
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+ | 1.3781 | 25.4630 | 5500 | 1.2143 | 0.0604 | 19.7001 |
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+ | 1.2932 | 25.9259 | 5600 | 1.4524 | 0.0595 | 19.7648 |
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+ | 1.3513 | 26.3889 | 5700 | 1.3591 | 0.0567 | 19.9765 |
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+ | 1.2994 | 26.8519 | 5800 | 1.1925 | 0.0554 | 20.0771 |
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+ | 1.2484 | 27.3148 | 5900 | 1.2242 | 0.0588 | 19.8152 |
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+ | 1.197 | 27.7778 | 6000 | 1.2605 | 0.0528 | 20.2832 |
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+ | 1.2305 | 28.2407 | 6100 | 1.1420 | 0.0559 | 20.0395 |
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+ | 1.1684 | 28.7037 | 6200 | 1.1063 | 0.0597 | 19.7491 |
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+ | 1.1854 | 29.1667 | 6300 | 1.2520 | 0.0560 | 20.0334 |
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+ | 1.2 | 29.6296 | 6400 | 1.1011 | 0.0540 | 20.1849 |
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+ | 1.176 | 30.0926 | 6500 | 1.0271 | 0.0567 | 19.9757 |
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+ | 1.1101 | 30.5556 | 6600 | 1.1846 | 0.0563 | 20.0074 |
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+ | 1.1426 | 31.0185 | 6700 | 1.0993 | 0.0570 | 19.9544 |
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+ | 1.103 | 31.4815 | 6800 | 1.0927 | 0.0570 | 19.9572 |
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+ | 1.0376 | 31.9444 | 6900 | 1.1137 | 0.0566 | 19.9874 |
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+ | 1.0489 | 32.4074 | 7000 | 1.1397 | 0.0569 | 19.9585 |
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+ | 1.0923 | 32.8704 | 7100 | 0.9335 | 0.0554 | 20.0784 |
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+ | 1.0614 | 33.3333 | 7200 | 1.2029 | 0.0551 | 20.0982 |
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+ | 1.0185 | 33.7963 | 7300 | 1.1350 | 0.0565 | 19.9945 |
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+ | 1.0401 | 34.2593 | 7400 | 1.1784 | 0.0565 | 19.9957 |
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+ | 1.0318 | 34.7222 | 7500 | 0.9407 | 0.0570 | 19.9527 |
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+ | 1.0171 | 35.1852 | 7600 | 0.9488 | 0.0569 | 19.9638 |
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+ | 1.0752 | 35.6481 | 7700 | 0.9837 | 0.0559 | 20.0420 |
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+ | 1.0916 | 36.1111 | 7800 | 1.1981 | 0.0561 | 20.0249 |
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+ | 1.1146 | 36.5741 | 7900 | 1.0566 | 0.0559 | 20.0370 |
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+ | 1.1023 | 37.0370 | 8000 | 1.0555 | 0.0553 | 20.0849 |
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+ | 1.1288 | 37.5 | 8100 | 1.1477 | 0.0559 | 20.0360 |
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+ | 1.1209 | 37.9630 | 8200 | 1.1293 | 0.0576 | 19.9067 |
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+ | 1.1332 | 38.4259 | 8300 | 1.2328 | 0.0542 | 20.1711 |
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+ | 1.1516 | 38.8889 | 8400 | 1.1648 | 0.0547 | 20.1290 |
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+ | 1.1606 | 39.3519 | 8500 | 1.1606 | 0.0564 | 19.9969 |
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+ | 1.1642 | 39.8148 | 8600 | 1.2534 | 0.0553 | 20.0878 |
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+ | 1.1356 | 40.2778 | 8700 | 1.1032 | 0.0564 | 19.9972 |
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+ | 1.1859 | 40.7407 | 8800 | 1.2939 | 0.0554 | 20.0791 |
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+ | 1.13 | 41.2037 | 8900 | 1.1200 | 0.0556 | 20.0620 |
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+ | 1.1486 | 41.6667 | 9000 | 1.1004 | 0.0557 | 20.0569 |
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+ | 1.0811 | 42.1296 | 9100 | 1.0300 | 0.0528 | 20.2869 |
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+ | 1.0941 | 42.5926 | 9200 | 1.1182 | 0.0530 | 20.2731 |
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+ | 1.0818 | 43.0556 | 9300 | 1.1210 | 0.0541 | 20.1829 |
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+ | 1.0588 | 43.5185 | 9400 | 1.2151 | 0.0524 | 20.3231 |
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+ | 1.0702 | 43.9815 | 9500 | 1.1523 | 0.0539 | 20.1985 |
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+ | 1.0094 | 44.4444 | 9600 | 1.0473 | 0.0530 | 20.2713 |
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+ | 1.0314 | 44.9074 | 9700 | 0.9793 | 0.0531 | 20.2655 |
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+ | 1.0258 | 45.3704 | 9800 | 1.0890 | 0.0513 | 20.4112 |
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+ | 1.0282 | 45.8333 | 9900 | 0.9711 | 0.0520 | 20.3517 |
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+ | 0.9859 | 46.2963 | 10000 | 0.9357 | 0.0509 | 20.4481 |
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+ | 0.9495 | 46.7593 | 10100 | 1.0113 | 0.0524 | 20.3229 |
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+ | 0.9553 | 47.2222 | 10200 | 0.9366 | 0.0517 | 20.3766 |
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+ | 0.9829 | 47.6852 | 10300 | 1.0695 | 0.0508 | 20.4506 |
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+ | 0.9316 | 48.1481 | 10400 | 0.8101 | 0.0534 | 20.2348 |
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+ | 0.9645 | 48.6111 | 10500 | 0.9829 | 0.0503 | 20.5004 |
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+ | 0.9223 | 49.0741 | 10600 | 0.9013 | 0.0517 | 20.3745 |
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+ | 0.9247 | 49.5370 | 10700 | 0.8640 | 0.0520 | 20.3559 |
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+ | 0.9265 | 50.0 | 10800 | 0.9571 | 0.0508 | 20.4535 |
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+ | 0.9149 | 50.4630 | 10900 | 0.8377 | 0.0493 | 20.5842 |
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+ | 0.9087 | 50.9259 | 11000 | 0.8752 | 0.0486 | 20.6452 |
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+ | 0.8582 | 51.3889 | 11100 | 0.8580 | 0.0520 | 20.3545 |
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+ | 0.8732 | 51.8519 | 11200 | 0.9128 | 0.0487 | 20.6348 |
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+ | 0.8973 | 52.3148 | 11300 | 0.8384 | 0.0505 | 20.4767 |
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+ | 0.853 | 52.7778 | 11400 | 0.8849 | 0.0490 | 20.6070 |
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+ | 0.8422 | 53.2407 | 11500 | 0.8829 | 0.0478 | 20.7160 |
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+ | 0.8353 | 53.7037 | 11600 | 0.9033 | 0.0500 | 20.5217 |
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+ | 0.8281 | 54.1667 | 11700 | 0.8503 | 0.0491 | 20.6028 |
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+ | 0.8437 | 54.6296 | 11800 | 0.8617 | 0.0514 | 20.4034 |
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+ | 0.8529 | 55.0926 | 11900 | 0.8649 | 0.0500 | 20.5240 |
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+ | 0.832 | 55.5556 | 12000 | 0.8541 | 0.0492 | 20.5944 |
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+ | 0.8331 | 56.0185 | 12100 | 0.7907 | 0.0485 | 20.6559 |
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+ | 0.8279 | 56.4815 | 12200 | 0.8512 | 0.0478 | 20.7184 |
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+ | 0.7912 | 56.9444 | 12300 | 0.8266 | 0.0481 | 20.6883 |
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+ | 0.8058 | 57.4074 | 12400 | 0.8213 | 0.0490 | 20.6134 |
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+ | 0.7863 | 57.8704 | 12500 | 0.8091 | 0.0474 | 20.7526 |
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+ | 0.7759 | 58.3333 | 12600 | 0.7051 | 0.0460 | 20.8827 |
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+ | 0.766 | 58.7963 | 12700 | 0.8549 | 0.0476 | 20.7343 |
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+ | 0.773 | 59.2593 | 12800 | 0.7508 | 0.0468 | 20.8111 |
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+ | 0.7683 | 59.7222 | 12900 | 0.7186 | 0.0477 | 20.7255 |
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+ | 0.7684 | 60.1852 | 13000 | 0.7521 | 0.0455 | 20.9347 |
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+ | 0.7289 | 60.6481 | 13100 | 0.7606 | 0.0467 | 20.8210 |
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+ | 0.727 | 61.1111 | 13200 | 0.7770 | 0.0485 | 20.6545 |
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+ | 0.74 | 61.5741 | 13300 | 0.6966 | 0.0482 | 20.6852 |
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+ | 0.741 | 62.0370 | 13400 | 0.7099 | 0.0473 | 20.7609 |
185
+ | 0.7321 | 62.5 | 13500 | 0.7439 | 0.0470 | 20.7887 |
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+ | 0.7313 | 62.9630 | 13600 | 0.7171 | 0.0468 | 20.8111 |
187
+ | 0.7257 | 63.4259 | 13700 | 0.7233 | 0.0468 | 20.8060 |
188
+ | 0.7016 | 63.8889 | 13800 | 0.7619 | 0.0463 | 20.8533 |
189
+ | 0.6963 | 64.3519 | 13900 | 0.7370 | 0.0466 | 20.8295 |
190
+ | 0.7218 | 64.8148 | 14000 | 0.7081 | 0.0468 | 20.8096 |
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+ | 0.691 | 65.2778 | 14100 | 0.6877 | 0.0463 | 20.8571 |
192
+ | 0.6883 | 65.7407 | 14200 | 0.6769 | 0.0457 | 20.9102 |
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+ | 0.6903 | 66.2037 | 14300 | 0.7429 | 0.0481 | 20.6951 |
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+ | 0.6916 | 66.6667 | 14400 | 0.7208 | 0.0456 | 20.9191 |
195
+ | 0.6867 | 67.1296 | 14500 | 0.7134 | 0.0462 | 20.8635 |
196
+ | 0.6508 | 67.5926 | 14600 | 0.6630 | 0.0464 | 20.8489 |
197
+ | 0.6528 | 68.0556 | 14700 | 0.6637 | 0.0461 | 20.8780 |
198
+ | 0.6573 | 68.5185 | 14800 | 0.6419 | 0.0456 | 20.9207 |
199
+ | 0.659 | 68.9815 | 14900 | 0.6901 | 0.0460 | 20.8864 |
200
+ | 0.6279 | 69.4444 | 15000 | 0.6815 | 0.0452 | 20.9613 |
201
+ | 0.6409 | 69.9074 | 15100 | 0.6239 | 0.0462 | 20.8657 |
202
+ | 0.6391 | 70.3704 | 15200 | 0.6703 | 0.0451 | 20.9689 |
203
+ | 0.6559 | 70.8333 | 15300 | 0.6870 | 0.0450 | 20.9783 |
204
+ | 0.6417 | 71.2963 | 15400 | 0.6202 | 0.0459 | 20.8984 |
205
+ | 0.6364 | 71.7593 | 15500 | 0.6792 | 0.0460 | 20.8857 |
206
+ | 0.6197 | 72.2222 | 15600 | 0.6580 | 0.0463 | 20.8582 |
207
+ | 0.6415 | 72.6852 | 15700 | 0.6028 | 0.0456 | 20.9194 |
208
+ | 0.6312 | 73.1481 | 15800 | 0.6408 | 0.0451 | 20.9713 |
209
+ | 0.628 | 73.6111 | 15900 | 0.6099 | 0.0443 | 21.0436 |
210
+ | 0.6471 | 74.0741 | 16000 | 0.6503 | 0.0458 | 20.9028 |
211
+ | 0.6005 | 74.5370 | 16100 | 0.6151 | 0.0455 | 20.9343 |
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+ | 0.5998 | 75.0 | 16200 | 0.6550 | 0.0453 | 20.9517 |
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+ | 0.6076 | 75.4630 | 16300 | 0.6203 | 0.0456 | 20.9209 |
214
+ | 0.612 | 75.9259 | 16400 | 0.6461 | 0.0448 | 21.0018 |
215
+ | 0.6088 | 76.3889 | 16500 | 0.6396 | 0.0454 | 20.9440 |
216
+ | 0.607 | 76.8519 | 16600 | 0.6423 | 0.0451 | 20.9665 |
217
+ | 0.613 | 77.3148 | 16700 | 0.5506 | 0.0452 | 20.9617 |
218
+ | 0.6216 | 77.7778 | 16800 | 0.6033 | 0.0451 | 20.9713 |
219
+ | 0.5965 | 78.2407 | 16900 | 0.5685 | 0.0452 | 20.9654 |
220
+ | 0.6057 | 78.7037 | 17000 | 0.5780 | 0.0442 | 21.0586 |
221
+ | 0.6066 | 79.1667 | 17100 | 0.5873 | 0.0448 | 21.0039 |
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+ | 0.592 | 79.6296 | 17200 | 0.6609 | 0.0450 | 20.9780 |
223
+ | 0.5918 | 80.0926 | 17300 | 0.6346 | 0.0459 | 20.8910 |
224
+ | 0.5894 | 80.5556 | 17400 | 0.5987 | 0.0455 | 20.9292 |
225
+ | 0.5788 | 81.0185 | 17500 | 0.6360 | 0.0447 | 21.0109 |
226
+ | 0.5813 | 81.4815 | 17600 | 0.6108 | 0.0446 | 21.0205 |
227
+ | 0.5965 | 81.9444 | 17700 | 0.5828 | 0.0447 | 21.0046 |
228
+ | 0.5848 | 82.4074 | 17800 | 0.5959 | 0.0451 | 20.9723 |
229
+ | 0.5851 | 82.8704 | 17900 | 0.5986 | 0.0443 | 21.0487 |
230
+ | 0.5964 | 83.3333 | 18000 | 0.5758 | 0.0454 | 20.9396 |
231
+ | 0.5723 | 83.7963 | 18100 | 0.6167 | 0.0446 | 21.0190 |
232
+ | 0.5766 | 84.2593 | 18200 | 0.6056 | 0.0446 | 21.0172 |
233
+ | 0.5828 | 84.7222 | 18300 | 0.5831 | 0.0442 | 21.0598 |
234
+ | 0.5747 | 85.1852 | 18400 | 0.5841 | 0.0444 | 21.0353 |
235
+ | 0.59 | 85.6481 | 18500 | 0.5907 | 0.0445 | 21.0262 |
236
+ | 0.5689 | 86.1111 | 18600 | 0.5549 | 0.0446 | 21.0194 |
237
+ | 0.6038 | 86.5741 | 18700 | 0.5776 | 0.0448 | 21.0044 |
238
+ | 0.5745 | 87.0370 | 18800 | 0.5802 | 0.0451 | 20.9694 |
239
+ | 0.573 | 87.5 | 18900 | 0.5801 | 0.0442 | 21.0588 |
240
+ | 0.5665 | 87.9630 | 19000 | 0.6071 | 0.0454 | 20.9416 |
241
+ | 0.5489 | 88.4259 | 19100 | 0.5778 | 0.0444 | 21.0404 |
242
+ | 0.56 | 88.8889 | 19200 | 0.6000 | 0.0443 | 21.0468 |
243
+ | 0.5578 | 89.3519 | 19300 | 0.5696 | 0.0444 | 21.0400 |
244
+ | 0.5536 | 89.8148 | 19400 | 0.5665 | 0.0440 | 21.0786 |
245
+ | 0.5721 | 90.2778 | 19500 | 0.5666 | 0.0443 | 21.0495 |
246
+ | 0.5719 | 90.7407 | 19600 | 0.5694 | 0.0443 | 21.0505 |
247
+ | 0.5767 | 91.2037 | 19700 | 0.5783 | 0.0446 | 21.0216 |
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+ | 0.5699 | 91.6667 | 19800 | 0.5687 | 0.0442 | 21.0589 |
249
+ | 0.5622 | 92.1296 | 19900 | 0.5692 | 0.0444 | 21.0370 |
250
+ | 0.5718 | 92.5926 | 20000 | 0.5753 | 0.0439 | 21.0847 |
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+ | 0.5638 | 93.0556 | 20100 | 0.5667 | 0.0439 | 21.0862 |
252
+ | 0.5802 | 93.5185 | 20200 | 0.5550 | 0.0444 | 21.0415 |
253
+ | 0.5687 | 93.9815 | 20300 | 0.5851 | 0.0443 | 21.0440 |
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+ | 0.5718 | 94.4444 | 20400 | 0.5577 | 0.0442 | 21.0627 |
255
+ | 0.5548 | 94.9074 | 20500 | 0.5573 | 0.0443 | 21.0511 |
256
+ | 0.5569 | 95.3704 | 20600 | 0.5648 | 0.0438 | 21.0929 |
257
+ | 0.5607 | 95.8333 | 20700 | 0.5621 | 0.0442 | 21.0554 |
258
+ | 0.5666 | 96.2963 | 20800 | 0.5657 | 0.0444 | 21.0404 |
259
+ | 0.5727 | 96.7593 | 20900 | 0.5649 | 0.0441 | 21.0633 |
260
+ | 0.5796 | 97.2222 | 21000 | 0.5673 | 0.0442 | 21.0560 |
261
+ | 0.554 | 97.6852 | 21100 | 0.5575 | 0.0440 | 21.0743 |
262
+ | 0.5653 | 98.1481 | 21200 | 0.5647 | 0.0443 | 21.0512 |
263
+ | 0.5707 | 98.6111 | 21300 | 0.5649 | 0.0443 | 21.0504 |
264
+ | 0.5518 | 99.0741 | 21400 | 0.5614 | 0.0442 | 21.0580 |
265
+ | 0.5662 | 99.5370 | 21500 | 0.5577 | 0.0441 | 21.0645 |
266
+ | 0.5648 | 100.0 | 21600 | 0.5621 | 0.0441 | 21.0636 |
267
+
268
+
269
+ ### Framework versions
270
+
271
+ - Transformers 4.41.1
272
+ - Pytorch 2.2.0+cu121
273
+ - Datasets 2.19.1
274
+ - Tokenizers 0.19.1
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