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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: add_grad_lr5e-4_batch128_train17_eval16
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# add_grad_lr5e-4_batch128_train17_eval16
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0154
- Accuracy: 0.9679
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 128
- eval_batch_size: 512
- seed: 23452399
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:-----:|:---------------:|:--------:|
| No log | 0 | 0 | 2.7193 | 0.0 |
| 2.3496 | 0.0032 | 50 | 2.3562 | 0.0 |
| 2.3333 | 0.0064 | 100 | 2.3112 | 0.0 |
| 2.3107 | 0.0096 | 150 | 2.2973 | 0.0 |
| 2.5122 | 0.0128 | 200 | 2.3337 | 0.0 |
| 2.2414 | 0.016 | 250 | 2.2790 | 0.0 |
| 2.2631 | 0.0192 | 300 | 2.2312 | 0.0 |
| 2.193 | 0.0224 | 350 | 2.1866 | 0.0 |
| 2.1956 | 0.0256 | 400 | 2.2871 | 0.0 |
| 2.3296 | 0.0288 | 450 | 2.2533 | 0.0 |
| 2.1544 | 0.032 | 500 | 2.1678 | 0.0 |
| 2.1619 | 0.0352 | 550 | 2.1428 | 0.0 |
| 2.1578 | 0.0384 | 600 | 2.1160 | 0.0 |
| 2.0805 | 0.0416 | 650 | 2.1378 | 0.0 |
| 2.1379 | 0.0448 | 700 | 2.1923 | 0.0 |
| 2.1105 | 0.048 | 750 | 2.0977 | 0.0 |
| 2.0908 | 0.0512 | 800 | 2.1495 | 0.0 |
| 2.1163 | 0.0544 | 850 | 2.0832 | 0.0 |
| 2.1117 | 0.0576 | 900 | 2.2732 | 0.0 |
| 2.1783 | 0.0608 | 950 | 2.1508 | 0.0 |
| 2.0848 | 0.064 | 1000 | 2.0197 | 0.0 |
| 1.9972 | 0.0672 | 1050 | 1.9375 | 0.0 |
| 1.8876 | 0.0704 | 1100 | 2.0081 | 0.0 |
| 1.8901 | 0.0736 | 1150 | 1.8045 | 0.0 |
| 1.7229 | 0.0768 | 1200 | 1.7674 | 0.0 |
| 1.8196 | 0.08 | 1250 | 1.9117 | 0.0 |
| 1.7262 | 0.0832 | 1300 | 1.9402 | 0.0 |
| 1.8496 | 0.0864 | 1350 | 1.7986 | 0.0 |
| 1.6415 | 0.0896 | 1400 | 1.6836 | 0.0 |
| 1.8074 | 0.0928 | 1450 | 1.6811 | 0.0 |
| 2.015 | 0.096 | 1500 | 2.0060 | 0.0 |
| 1.3949 | 0.0992 | 1550 | 1.7472 | 0.0 |
| 1.3884 | 0.1024 | 1600 | 1.5806 | 0.0001 |
| 1.3993 | 0.1056 | 1650 | 1.5009 | 0.0002 |
| 1.3922 | 0.1088 | 1700 | 1.3913 | 0.0014 |
| 1.3647 | 0.112 | 1750 | 1.3974 | 0.0002 |
| 1.3262 | 0.1152 | 1800 | 1.3437 | 0.0013 |
| 1.5573 | 0.1184 | 1850 | 1.6870 | 0.0001 |
| 1.3919 | 0.1216 | 1900 | 1.4983 | 0.0 |
| 1.3264 | 0.1248 | 1950 | 1.4067 | 0.0025 |
| 1.5054 | 0.128 | 2000 | 1.4885 | 0.0001 |
| 1.4031 | 0.1312 | 2050 | 1.7518 | 0.0003 |
| 1.3538 | 0.1344 | 2100 | 1.3727 | 0.0021 |
| 1.408 | 0.1376 | 2150 | 1.4749 | 0.0005 |
| 1.2191 | 0.1408 | 2200 | 1.3767 | 0.0015 |
| 1.3448 | 0.144 | 2250 | 1.6277 | 0.0007 |
| 1.3086 | 0.1472 | 2300 | 1.3881 | 0.002 |
| 1.529 | 0.1504 | 2350 | 1.3379 | 0.001 |
| 1.433 | 0.1536 | 2400 | 1.3497 | 0.0015 |
| 1.4327 | 0.1568 | 2450 | 1.3468 | 0.0015 |
| 1.213 | 0.16 | 2500 | 1.3858 | 0.004 |
| 1.2029 | 0.1632 | 2550 | 1.2968 | 0.0018 |
| 1.1857 | 0.1664 | 2600 | 1.4007 | 0.0019 |
| 1.1877 | 0.1696 | 2650 | 1.2652 | 0.0038 |
| 1.2281 | 0.1728 | 2700 | 1.2081 | 0.0039 |
| 1.1379 | 0.176 | 2750 | 1.3022 | 0.0036 |
| 1.2458 | 0.1792 | 2800 | 1.2313 | 0.0036 |
| 1.114 | 0.1824 | 2850 | 1.3706 | 0.0044 |
| 1.2269 | 0.1856 | 2900 | 1.4575 | 0.0032 |
| 1.1221 | 0.1888 | 2950 | 1.2294 | 0.0018 |
| 1.2582 | 0.192 | 3000 | 1.1945 | 0.0044 |
| 1.1009 | 0.1952 | 3050 | 1.3201 | 0.0056 |
| 1.1572 | 0.1984 | 3100 | 1.3459 | 0.0045 |
| 1.2497 | 0.2016 | 3150 | 1.3372 | 0.0047 |
| 1.2188 | 0.2048 | 3200 | 1.4481 | 0.0039 |
| 1.2417 | 0.208 | 3250 | 1.2609 | 0.0034 |
| 1.31 | 0.2112 | 3300 | 1.3970 | 0.003 |
| 1.2816 | 0.2144 | 3350 | 1.4225 | 0.0034 |
| 1.1755 | 0.2176 | 3400 | 1.2073 | 0.004 |
| 1.2698 | 0.2208 | 3450 | 1.2303 | 0.005 |
| 1.1897 | 0.224 | 3500 | 1.7764 | 0.0004 |
| 1.1248 | 0.2272 | 3550 | 1.4761 | 0.0024 |
| 1.1501 | 0.2304 | 3600 | 1.3269 | 0.0039 |
| 1.2388 | 0.2336 | 3650 | 1.3460 | 0.0061 |
| 1.2204 | 0.2368 | 3700 | 1.6976 | 0.0006 |
| 1.1572 | 0.24 | 3750 | 1.3979 | 0.005 |
| 1.1617 | 0.2432 | 3800 | 1.3160 | 0.0053 |
| 1.1609 | 0.2464 | 3850 | 1.1778 | 0.0058 |
| 1.1811 | 0.2496 | 3900 | 2.0811 | 0.0003 |
| 1.1343 | 0.2528 | 3950 | 1.2704 | 0.0064 |
| 1.1775 | 0.256 | 4000 | 1.2977 | 0.005 |
| 1.1971 | 0.2592 | 4050 | 1.2857 | 0.0035 |
| 1.1541 | 0.2624 | 4100 | 1.2041 | 0.0071 |
| 1.2055 | 0.2656 | 4150 | 1.7311 | 0.0059 |
| 1.082 | 0.2688 | 4200 | 1.2451 | 0.0045 |
| 1.1024 | 0.272 | 4250 | 1.2491 | 0.0054 |
| 1.1704 | 0.2752 | 4300 | 1.4003 | 0.0079 |
| 1.1118 | 0.2784 | 4350 | 1.3309 | 0.0072 |
| 1.1553 | 0.2816 | 4400 | 1.2228 | 0.0102 |
| 1.0607 | 0.2848 | 4450 | 1.4611 | 0.0026 |
| 1.2239 | 0.288 | 4500 | 1.1127 | 0.0071 |
| 1.0648 | 0.2912 | 4550 | 1.4199 | 0.0089 |
| 1.1317 | 0.2944 | 4600 | 1.2533 | 0.0108 |
| 1.3889 | 0.2976 | 4650 | 1.7725 | 0.0 |
| 1.1914 | 0.3008 | 4700 | 1.3731 | 0.0092 |
| 1.1129 | 0.304 | 4750 | 1.1425 | 0.0128 |
| 1.1046 | 0.3072 | 4800 | 1.1032 | 0.0091 |
| 1.2364 | 0.3104 | 4850 | 1.1844 | 0.0088 |
| 1.013 | 0.3136 | 4900 | 1.2415 | 0.0083 |
| 0.8808 | 0.3168 | 4950 | 0.9291 | 0.0089 |
| 0.9546 | 0.32 | 5000 | 1.2228 | 0.0036 |
| 0.8682 | 0.3232 | 5050 | 1.2901 | 0.0092 |
| 0.9839 | 0.3264 | 5100 | 1.4013 | 0.0066 |
| 0.5929 | 0.3296 | 5150 | 0.5889 | 0.0295 |
| 0.7361 | 0.3328 | 5200 | 1.3741 | 0.0038 |
| 0.4741 | 0.336 | 5250 | 1.0211 | 0.003 |
| 0.4972 | 0.3392 | 5300 | 0.4394 | 0.0297 |
| 0.687 | 0.3424 | 5350 | 0.6737 | 0.009 |
| 0.3421 | 0.3456 | 5400 | 0.9852 | 0.0095 |
| 0.2695 | 0.3488 | 5450 | 0.8747 | 0.0306 |
| 0.3682 | 0.352 | 5500 | 1.0271 | 0.01 |
| 0.5233 | 0.3552 | 5550 | 0.3635 | 0.0536 |
| 0.2067 | 0.3584 | 5600 | 0.4997 | 0.0372 |
| 0.4716 | 0.3616 | 5650 | 1.0124 | 0.0192 |
| 0.2115 | 0.3648 | 5700 | 0.3417 | 0.068 |
| 0.1741 | 0.368 | 5750 | 0.5971 | 0.0381 |
| 0.5953 | 0.3712 | 5800 | 0.3584 | 0.0459 |
| 0.158 | 0.3744 | 5850 | 0.5634 | 0.024 |
| 0.2555 | 0.3776 | 5900 | 0.9047 | 0.0052 |
| 0.3028 | 0.3808 | 5950 | 0.4474 | 0.0349 |
| 0.4047 | 0.384 | 6000 | 0.7320 | 0.0332 |
| 0.0819 | 0.3872 | 6050 | 0.7320 | 0.1607 |
| 0.055 | 0.3904 | 6100 | 0.1029 | 0.6687 |
| 0.3385 | 0.3936 | 6150 | 0.4378 | 0.3088 |
| 0.0659 | 0.3968 | 6200 | 0.1799 | 0.5442 |
| 0.0279 | 0.4 | 6250 | 0.2499 | 0.3857 |
| 0.349 | 0.4032 | 6300 | 0.6052 | 0.0537 |
| 0.201 | 0.4064 | 6350 | 0.3670 | 0.3453 |
| 0.188 | 0.4096 | 6400 | 0.2504 | 0.4782 |
| 0.0179 | 0.4128 | 6450 | 0.1064 | 0.6577 |
| 0.0967 | 0.416 | 6500 | 0.3356 | 0.5355 |
| 0.1234 | 0.4192 | 6550 | 0.1511 | 0.5542 |
| 0.057 | 0.4224 | 6600 | 0.3994 | 0.3332 |
| 0.0906 | 0.4256 | 6650 | 0.0901 | 0.7709 |
| 0.0816 | 0.4288 | 6700 | 0.5050 | 0.3015 |
| 0.0847 | 0.432 | 6750 | 0.1828 | 0.6641 |
| 0.0977 | 0.4352 | 6800 | 0.3029 | 0.4298 |
| 0.0249 | 0.4384 | 6850 | 0.2638 | 0.6238 |
| 0.0274 | 0.4416 | 6900 | 0.0834 | 0.7076 |
| 0.0468 | 0.4448 | 6950 | 0.1984 | 0.5072 |
| 0.0402 | 0.448 | 7000 | 0.2242 | 0.5004 |
| 0.0339 | 0.4512 | 7050 | 0.1273 | 0.7642 |
| 0.0681 | 0.4544 | 7100 | 0.2063 | 0.6743 |
| 0.0159 | 0.4576 | 7150 | 0.0512 | 0.8216 |
| 0.0453 | 0.4608 | 7200 | 0.0305 | 0.873 |
| 0.0293 | 0.464 | 7250 | 0.1257 | 0.7176 |
| 0.0825 | 0.4672 | 7300 | 0.1057 | 0.7127 |
| 0.0413 | 0.4704 | 7350 | 0.2132 | 0.5256 |
| 0.0222 | 0.4736 | 7400 | 0.0819 | 0.7338 |
| 0.0446 | 0.4768 | 7450 | 0.1115 | 0.619 |
| 0.0472 | 0.48 | 7500 | 0.1122 | 0.7335 |
| 0.0168 | 0.4832 | 7550 | 0.0228 | 0.8987 |
| 0.0143 | 0.4864 | 7600 | 0.0174 | 0.9336 |
| 0.0926 | 0.4896 | 7650 | 0.2201 | 0.5565 |
| 0.0449 | 0.4928 | 7700 | 0.0199 | 0.9279 |
| 0.0122 | 0.496 | 7750 | 0.0204 | 0.9205 |
| 0.0291 | 0.4992 | 7800 | 0.0217 | 0.913 |
| 0.0249 | 0.5024 | 7850 | 0.0330 | 0.8872 |
| 0.0101 | 0.5056 | 7900 | 0.0563 | 0.7469 |
| 0.0029 | 0.5088 | 7950 | 0.0160 | 0.9347 |
| 0.0748 | 0.512 | 8000 | 0.0773 | 0.6639 |
| 0.048 | 0.5152 | 8050 | 0.0882 | 0.7123 |
| 0.0309 | 0.5184 | 8100 | 0.0436 | 0.8712 |
| 0.0223 | 0.5216 | 8150 | 0.0210 | 0.9245 |
| 0.0218 | 0.5248 | 8200 | 0.0531 | 0.8543 |
| 0.08 | 0.528 | 8250 | 0.2518 | 0.3675 |
| 0.0201 | 0.5312 | 8300 | 0.0381 | 0.8501 |
| 0.0052 | 0.5344 | 8350 | 0.0458 | 0.8214 |
| 0.0464 | 0.5376 | 8400 | 0.0550 | 0.8367 |
| 0.0098 | 0.5408 | 8450 | 0.2861 | 0.5415 |
| 0.0199 | 0.544 | 8500 | 0.0207 | 0.909 |
| 0.0076 | 0.5472 | 8550 | 0.0174 | 0.9512 |
| 0.023 | 0.5504 | 8600 | 0.0179 | 0.9215 |
| 0.0129 | 0.5536 | 8650 | 0.0401 | 0.9076 |
| 0.0096 | 0.5568 | 8700 | 0.0285 | 0.9029 |
| 0.002 | 0.56 | 8750 | 0.0055 | 0.9769 |
| 0.0112 | 0.5632 | 8800 | 0.0285 | 0.8932 |
| 0.0111 | 0.5664 | 8850 | 0.0094 | 0.9653 |
| 0.0096 | 0.5696 | 8900 | 0.0056 | 0.9804 |
| 0.008 | 0.5728 | 8950 | 0.0202 | 0.9102 |
| 0.0172 | 0.576 | 9000 | 0.0071 | 0.9773 |
| 0.0366 | 0.5792 | 9050 | 0.1993 | 0.485 |
| 0.008 | 0.5824 | 9100 | 0.0092 | 0.9691 |
| 0.0281 | 0.5856 | 9150 | 0.0980 | 0.8018 |
| 0.0093 | 0.5888 | 9200 | 0.1377 | 0.7855 |
| 0.0149 | 0.592 | 9250 | 0.0335 | 0.8934 |
| 0.019 | 0.5952 | 9300 | 0.0274 | 0.885 |
| 0.0148 | 0.5984 | 9350 | 0.1392 | 0.7484 |
| 0.0237 | 0.6016 | 9400 | 0.0190 | 0.928 |
| 0.0178 | 0.6048 | 9450 | 0.1124 | 0.8137 |
| 0.003 | 0.608 | 9500 | 0.0180 | 0.9243 |
| 0.0029 | 0.6112 | 9550 | 0.0642 | 0.8391 |
| 0.0031 | 0.6144 | 9600 | 0.0185 | 0.9172 |
| 0.0049 | 0.6176 | 9650 | 0.0528 | 0.8807 |
| 0.0191 | 0.6208 | 9700 | 0.0061 | 0.9773 |
| 0.0205 | 0.624 | 9750 | 0.0043 | 0.9807 |
| 0.0019 | 0.6272 | 9800 | 0.0045 | 0.9805 |
| 0.0031 | 0.6304 | 9850 | 0.0303 | 0.9045 |
| 0.0009 | 0.6336 | 9900 | 0.0133 | 0.9596 |
| 0.0024 | 0.6368 | 9950 | 0.0269 | 0.8941 |
| 0.001 | 0.64 | 10000 | 0.0045 | 0.9839 |
| 0.0131 | 0.6432 | 10050 | 0.0843 | 0.8034 |
| 0.0033 | 0.6464 | 10100 | 0.0224 | 0.941 |
| 0.0028 | 0.6496 | 10150 | 0.0009 | 0.9967 |
| 0.0115 | 0.6528 | 10200 | 0.0274 | 0.9282 |
| 0.0016 | 0.656 | 10250 | 0.0244 | 0.9264 |
| 0.0005 | 0.6592 | 10300 | 0.0145 | 0.9401 |
| 0.0027 | 0.6624 | 10350 | 0.0203 | 0.9173 |
| 0.0024 | 0.6656 | 10400 | 0.0362 | 0.8816 |
| 0.0012 | 0.6688 | 10450 | 0.0147 | 0.9644 |
| 0.0009 | 0.672 | 10500 | 0.0094 | 0.9601 |
| 0.0009 | 0.6752 | 10550 | 0.0408 | 0.8971 |
| 0.003 | 0.6784 | 10600 | 0.0695 | 0.8411 |
| 0.0062 | 0.6816 | 10650 | 0.0060 | 0.9744 |
| 0.0149 | 0.6848 | 10700 | 0.1436 | 0.7635 |
| 0.0013 | 0.688 | 10750 | 0.0308 | 0.9219 |
| 0.0001 | 0.6912 | 10800 | 0.0090 | 0.9726 |
| 0.0002 | 0.6944 | 10850 | 0.0019 | 0.9906 |
| 0.0005 | 0.6976 | 10900 | 0.0164 | 0.9537 |
| 0.0014 | 0.7008 | 10950 | 0.0027 | 0.9903 |
| 0.0003 | 0.704 | 11000 | 0.0625 | 0.8677 |
| 0.0001 | 0.7072 | 11050 | 0.0289 | 0.9497 |
| 0.0 | 0.7104 | 11100 | 0.0009 | 0.9953 |
| 0.0032 | 0.7136 | 11150 | 0.0029 | 0.9894 |
| 0.0015 | 0.7168 | 11200 | 0.1071 | 0.8827 |
| 0.0001 | 0.72 | 11250 | 0.0003 | 0.999 |
| 0.0001 | 0.7232 | 11300 | 0.0050 | 0.978 |
| 0.0003 | 0.7264 | 11350 | 0.0026 | 0.9904 |
| 0.0 | 0.7296 | 11400 | 0.0086 | 0.9699 |
| 0.0 | 0.7328 | 11450 | 0.0741 | 0.8955 |
| 0.0001 | 0.736 | 11500 | 0.0001 | 0.9996 |
| 0.0 | 0.7392 | 11550 | 0.0152 | 0.9596 |
| 0.0003 | 0.7424 | 11600 | 0.0089 | 0.9739 |
| 0.0 | 0.7456 | 11650 | 0.0253 | 0.9411 |
| 0.0028 | 0.7488 | 11700 | 0.0472 | 0.9112 |
| 0.0 | 0.752 | 11750 | 0.0061 | 0.9664 |
| 0.0 | 0.7552 | 11800 | 0.0025 | 0.988 |
| 0.0 | 0.7584 | 11850 | 0.0010 | 0.9954 |
| 0.0 | 0.7616 | 11900 | 0.0018 | 0.9911 |
| 0.0 | 0.7648 | 11950 | 0.0011 | 0.9951 |
| 0.0001 | 0.768 | 12000 | 0.0076 | 0.9757 |
| 0.0 | 0.7712 | 12050 | 0.0011 | 0.9958 |
| 0.0 | 0.7744 | 12100 | 0.0006 | 0.9972 |
| 0.0 | 0.7776 | 12150 | 0.0006 | 0.9974 |
| 0.0 | 0.7808 | 12200 | 0.0005 | 0.9974 |
| 0.0 | 0.784 | 12250 | 0.0004 | 0.998 |
| 0.0 | 0.7872 | 12300 | 0.0006 | 0.9973 |
| 0.0 | 0.7904 | 12350 | 0.0007 | 0.9967 |
| 0.0 | 0.7936 | 12400 | 0.0008 | 0.9964 |
| 0.0 | 0.7968 | 12450 | 0.0005 | 0.9979 |
| 0.0 | 0.8 | 12500 | 0.0005 | 0.998 |
| 0.0 | 0.8032 | 12550 | 0.0004 | 0.9981 |
| 0.0001 | 0.8064 | 12600 | 0.0153 | 0.9756 |
| 0.0 | 0.8096 | 12650 | 0.0005 | 0.9974 |
| 0.0004 | 0.8128 | 12700 | 0.0001 | 0.9993 |
| 0.0 | 0.816 | 12750 | 0.0061 | 0.977 |
| 0.0001 | 0.8192 | 12800 | 0.0378 | 0.918 |
| 0.0 | 0.8224 | 12850 | 0.0100 | 0.9737 |
| 0.0 | 0.8256 | 12900 | 0.0151 | 0.9626 |
| 0.0021 | 0.8288 | 12950 | 0.0203 | 0.9538 |
| 0.0 | 0.832 | 13000 | 0.0159 | 0.9614 |
| 0.0 | 0.8352 | 13050 | 0.0172 | 0.9586 |
| 0.0 | 0.8384 | 13100 | 0.0141 | 0.9635 |
| 0.0 | 0.8416 | 13150 | 0.0114 | 0.9677 |
| 0.0 | 0.8448 | 13200 | 0.0114 | 0.9695 |
| 0.0 | 0.848 | 13250 | 0.0071 | 0.9784 |
| 0.0 | 0.8512 | 13300 | 0.0052 | 0.9834 |
| 0.0 | 0.8544 | 13350 | 0.0065 | 0.9804 |
| 0.0 | 0.8576 | 13400 | 0.0071 | 0.9793 |
| 0.0 | 0.8608 | 13450 | 0.0073 | 0.9784 |
| 0.0 | 0.864 | 13500 | 0.0293 | 0.9458 |
| 0.0 | 0.8672 | 13550 | 0.0009 | 0.997 |
| 0.0 | 0.8704 | 13600 | 0.0009 | 0.997 |
| 0.0 | 0.8736 | 13650 | 0.0409 | 0.9368 |
| 0.0 | 0.8768 | 13700 | 0.0655 | 0.9229 |
| 0.0 | 0.88 | 13750 | 0.0569 | 0.93 |
| 0.0 | 0.8832 | 13800 | 0.0523 | 0.9331 |
| 0.0 | 0.8864 | 13850 | 0.0497 | 0.935 |
| 0.0 | 0.8896 | 13900 | 0.0520 | 0.9352 |
| 0.0 | 0.8928 | 13950 | 0.0516 | 0.9356 |
| 0.0 | 0.896 | 14000 | 0.0143 | 0.9656 |
| 0.0 | 0.8992 | 14050 | 0.0115 | 0.9702 |
| 0.0 | 0.9024 | 14100 | 0.0104 | 0.9721 |
| 0.0 | 0.9056 | 14150 | 0.0863 | 0.9043 |
| 0.0 | 0.9088 | 14200 | 0.0537 | 0.9266 |
| 0.0 | 0.912 | 14250 | 0.0464 | 0.932 |
| 0.0 | 0.9152 | 14300 | 0.0420 | 0.9348 |
| 0.0 | 0.9184 | 14350 | 0.0387 | 0.9382 |
| 0.0 | 0.9216 | 14400 | 0.0319 | 0.9442 |
| 0.0 | 0.9248 | 14450 | 0.0274 | 0.9489 |
| 0.0 | 0.928 | 14500 | 0.0263 | 0.9506 |
| 0.0 | 0.9312 | 14550 | 0.0255 | 0.9515 |
| 0.0 | 0.9344 | 14600 | 0.0247 | 0.9533 |
| 0.0 | 0.9376 | 14650 | 0.0230 | 0.9563 |
| 0.0 | 0.9408 | 14700 | 0.0217 | 0.9578 |
| 0.0 | 0.944 | 14750 | 0.0210 | 0.9587 |
| 0.0 | 0.9472 | 14800 | 0.0207 | 0.9588 |
| 0.0 | 0.9504 | 14850 | 0.0201 | 0.9597 |
| 0.0 | 0.9536 | 14900 | 0.0189 | 0.9619 |
| 0.0 | 0.9568 | 14950 | 0.0166 | 0.9657 |
| 0.0 | 0.96 | 15000 | 0.0161 | 0.967 |
| 0.0 | 0.9632 | 15050 | 0.0159 | 0.9673 |
| 0.0 | 0.9664 | 15100 | 0.0157 | 0.9679 |
| 0.0 | 0.9696 | 15150 | 0.0156 | 0.9679 |
| 0.0 | 0.9728 | 15200 | 0.0155 | 0.968 |
| 0.0 | 0.976 | 15250 | 0.0155 | 0.968 |
| 0.0 | 0.9792 | 15300 | 0.0155 | 0.968 |
| 0.0 | 0.9824 | 15350 | 0.0155 | 0.968 |
| 0.0 | 0.9856 | 15400 | 0.0155 | 0.9679 |
| 0.0 | 0.9888 | 15450 | 0.0154 | 0.9679 |
| 0.0 | 0.992 | 15500 | 0.0154 | 0.9679 |
| 0.0 | 0.9952 | 15550 | 0.0154 | 0.9679 |
| 0.0 | 0.9984 | 15600 | 0.0154 | 0.9679 |
### Framework versions
- Transformers 4.46.0
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.1
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