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Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
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kojo-george/asr-twi

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  1. README.md +161 -0
  2. adapter.twi.safetensors +3 -0
  3. config.json +108 -0
  4. model.safetensors +3 -0
  5. preprocessor_config.json +9 -0
  6. runs/May27_13-12-58_4b0911a74543/events.out.tfevents.1716815623.4b0911a74543.1502.5 +3 -0
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  23. training_args.bin +3 -0
  24. vocab.json +34 -0
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: facebook/mms-1b-all
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+ tags:
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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: model
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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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+ # model
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+
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+ This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3423
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+ - Wer: 0.3105
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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: 0.001
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+ - train_batch_size: 3
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+ - eval_batch_size: 8
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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: 100
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+ - training_steps: 1000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 17.8775 | 0.01 | 10 | 9.2984 | 0.9996 |
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+ | 8.4397 | 0.02 | 20 | 7.0495 | 0.9973 |
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+ | 5.5511 | 0.03 | 30 | 4.8686 | 1.0 |
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+ | 3.398 | 0.04 | 40 | 3.1156 | 1.0 |
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+ | 2.8357 | 0.05 | 50 | 2.6599 | 0.9946 |
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+ | 2.0922 | 0.06 | 60 | 1.4849 | 0.8331 |
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+ | 0.9266 | 0.07 | 70 | 0.5457 | 0.4559 |
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+ | 0.6591 | 0.08 | 80 | 0.4574 | 0.4116 |
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+ | 0.7803 | 0.09 | 90 | 0.4545 | 0.4063 |
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+ | 0.4973 | 0.1 | 100 | 0.4489 | 0.4425 |
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+ | 0.5481 | 0.11 | 110 | 0.4370 | 0.4013 |
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+ | 0.4983 | 0.12 | 120 | 0.4238 | 0.3812 |
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+ | 0.546 | 0.13 | 130 | 0.4375 | 0.3669 |
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+ | 8.1093 | 0.14 | 140 | 0.4303 | 0.4112 |
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+ | 0.5009 | 0.15 | 150 | 0.4071 | 0.3682 |
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+ | 1.2317 | 0.16 | 160 | 0.4030 | 0.3655 |
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+ | 0.7063 | 0.17 | 170 | 0.4210 | 0.3758 |
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+ | 0.7808 | 0.18 | 180 | 0.4378 | 0.3852 |
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+ | 0.7112 | 0.19 | 190 | 0.4127 | 0.3951 |
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+ | 0.5008 | 0.2 | 200 | 0.4060 | 0.3857 |
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+ | 0.3461 | 0.21 | 210 | 0.4081 | 0.3888 |
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+ | 0.4504 | 0.22 | 220 | 0.4046 | 0.3776 |
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+ | 0.4417 | 0.23 | 230 | 0.3936 | 0.3705 |
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+ | 0.408 | 0.24 | 240 | 0.3949 | 0.3767 |
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+ | 0.3773 | 0.25 | 250 | 0.3983 | 0.3651 |
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+ | 0.369 | 0.26 | 260 | 0.3992 | 0.3897 |
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+ | 0.3457 | 0.27 | 270 | 0.4082 | 0.3808 |
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+ | 0.3022 | 0.28 | 280 | 0.4145 | 0.3893 |
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+ | 0.2979 | 0.29 | 290 | 0.4098 | 0.3763 |
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+ | 0.3151 | 0.3 | 300 | 0.4057 | 0.3736 |
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+ | 0.2393 | 0.31 | 310 | 0.4157 | 0.3705 |
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+ | 0.3349 | 0.32 | 320 | 0.4073 | 0.3723 |
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+ | 0.4345 | 0.33 | 330 | 0.3922 | 0.3682 |
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+ | 0.4749 | 0.34 | 340 | 0.3954 | 0.3776 |
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+ | 0.4943 | 0.35 | 350 | 0.4061 | 0.3973 |
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+ | 0.6501 | 0.36 | 360 | 0.4046 | 0.3723 |
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+ | 0.4341 | 0.37 | 370 | 0.3860 | 0.3611 |
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+ | 0.5815 | 0.38 | 380 | 0.3679 | 0.3535 |
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+ | 0.2856 | 0.39 | 390 | 0.3488 | 0.3396 |
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+ | 0.4749 | 0.4 | 400 | 0.3422 | 0.3329 |
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+ | 0.9302 | 0.41 | 410 | 0.7541 | 0.3758 |
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+ | 0.5203 | 0.42 | 420 | 0.3500 | 0.3405 |
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+ | 0.5526 | 0.43 | 430 | 0.4483 | 0.3714 |
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+ | 0.4831 | 0.44 | 440 | 0.3755 | 0.3503 |
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+ | 0.4884 | 0.45 | 450 | 0.3770 | 0.3468 |
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+ | 0.6218 | 0.46 | 460 | 0.5081 | 0.4148 |
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+ | 0.5668 | 0.47 | 470 | 0.3856 | 0.3664 |
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+ | 0.3642 | 0.48 | 480 | 0.4201 | 0.3870 |
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+ | 0.7928 | 0.49 | 490 | 0.4262 | 0.3964 |
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+ | 0.4892 | 0.5 | 500 | 0.3688 | 0.3400 |
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+ | 0.6385 | 0.51 | 510 | 0.4601 | 0.4063 |
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+ | 0.5339 | 0.52 | 520 | 0.3698 | 0.3562 |
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+ | 0.5221 | 0.53 | 530 | 0.3998 | 0.3969 |
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+ | 0.4743 | 0.54 | 540 | 0.4351 | 0.3924 |
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+ | 0.4479 | 0.55 | 550 | 0.3744 | 0.3396 |
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+ | 0.5286 | 0.56 | 560 | 0.3924 | 0.3691 |
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+ | 0.4581 | 0.57 | 570 | 0.4267 | 0.3875 |
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+ | 0.5132 | 0.58 | 580 | 0.3893 | 0.3606 |
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+ | 0.463 | 0.59 | 590 | 0.3994 | 0.3638 |
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+ | 0.689 | 0.6 | 600 | 0.3974 | 0.3696 |
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+ | 0.3677 | 0.61 | 610 | 0.4022 | 0.3714 |
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+ | 0.4683 | 0.62 | 620 | 0.4243 | 0.3857 |
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+ | 1.0951 | 0.63 | 630 | 0.3747 | 0.3347 |
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+ | 0.4472 | 0.64 | 640 | 0.3928 | 0.3530 |
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+ | 0.5295 | 0.65 | 650 | 0.3913 | 0.3611 |
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+ | 0.4069 | 0.66 | 660 | 0.3725 | 0.3163 |
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+ | 0.4025 | 0.67 | 670 | 0.4177 | 0.3526 |
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+ | 0.6354 | 0.68 | 680 | 0.4142 | 0.3848 |
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+ | 0.4844 | 0.69 | 690 | 0.3541 | 0.3298 |
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+ | 0.4076 | 0.7 | 700 | 0.4707 | 0.4121 |
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+ | 0.4163 | 0.71 | 710 | 0.3728 | 0.3477 |
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+ | 0.508 | 0.72 | 720 | 0.3670 | 0.3356 |
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+ | 0.4467 | 0.73 | 730 | 0.4091 | 0.3696 |
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+ | 0.5598 | 0.74 | 740 | 0.3691 | 0.3333 |
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+ | 0.3704 | 0.75 | 750 | 0.4129 | 0.3718 |
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+ | 0.4187 | 0.76 | 760 | 0.3447 | 0.3230 |
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+ | 0.3781 | 0.77 | 770 | 0.3295 | 0.3217 |
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+ | 1.8508 | 0.78 | 780 | 0.3301 | 0.3320 |
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+ | 0.4231 | 0.79 | 790 | 0.3545 | 0.3799 |
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+ | 0.685 | 0.8 | 800 | 0.3536 | 0.3570 |
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+ | 1.6723 | 0.81 | 810 | 0.3546 | 0.3517 |
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+ | 0.7572 | 0.82 | 820 | 0.3451 | 0.3387 |
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+ | 0.4066 | 0.83 | 830 | 0.3371 | 0.3244 |
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+ | 0.3854 | 0.84 | 840 | 0.3376 | 0.3311 |
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+ | 0.3398 | 0.85 | 850 | 0.3411 | 0.3365 |
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+ | 0.5831 | 0.86 | 860 | 0.3403 | 0.3239 |
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+ | 0.3535 | 0.87 | 870 | 0.3461 | 0.3293 |
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+ | 0.356 | 0.88 | 880 | 0.3407 | 0.3230 |
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+ | 0.9119 | 0.89 | 890 | 0.3407 | 0.3168 |
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+ | 0.7343 | 0.9 | 900 | 0.3407 | 0.3172 |
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+ | 2.2157 | 0.91 | 910 | 0.3422 | 0.3177 |
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+ | 0.7775 | 0.92 | 920 | 0.3423 | 0.3168 |
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+ | 0.7004 | 0.93 | 930 | 0.3413 | 0.3074 |
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+ | 0.3577 | 0.94 | 940 | 0.3438 | 0.3087 |
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+ | 0.3111 | 0.95 | 950 | 0.3451 | 0.3105 |
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+ | 0.7131 | 0.96 | 960 | 0.3448 | 0.3110 |
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+ | 0.8791 | 0.97 | 970 | 0.3438 | 0.3119 |
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+ | 0.3749 | 0.98 | 980 | 0.3428 | 0.3092 |
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+ | 0.3108 | 0.99 | 990 | 0.3424 | 0.3105 |
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+ | 0.4724 | 1.0 | 1000 | 0.3423 | 0.3105 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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