Model save
Browse files- README.md +234 -200
- pytorch_model.bin +1 -1
README.md
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@@ -14,7 +14,7 @@ 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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.
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## Model description
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@@ -43,209 +43,243 @@ The following hyperparameters were used during training:
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### Training results
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| Training Loss | Epoch | Step
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| No log | 0.0257 | 50
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| No log | 0.0513 | 100
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| No log | 0.0770 | 150
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| No log | 0.1026 | 200
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| No log | 0.1283 | 250
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| No log | 0.1539 | 300
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| No log | 0.1796 | 350
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| No log | 0.2052 | 400
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| No log | 0.2309 | 450
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### Framework versions
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- Transformers 4.
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 4.2041
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| No log | 0.0257 | 50 | 8.3417 |
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| No log | 0.0513 | 100 | 7.5225 |
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| 50 |
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| No log | 0.0770 | 150 | 7.2800 |
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| No log | 0.1026 | 200 | 7.1710 |
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| No log | 0.1283 | 250 | 7.0870 |
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| No log | 0.1539 | 300 | 7.0228 |
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| No log | 0.1796 | 350 | 6.9561 |
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| No log | 0.2052 | 400 | 6.9274 |
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| No log | 0.2309 | 450 | 6.8805 |
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| 7.373 | 0.2565 | 500 | 6.8446 |
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| 7.373 | 0.2822 | 550 | 6.7928 |
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| 7.373 | 0.3079 | 600 | 6.7473 |
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| 7.373 | 0.3335 | 650 | 6.7402 |
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| 7.373 | 0.3592 | 700 | 6.7083 |
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| 7.373 | 0.3848 | 750 | 6.6590 |
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| 7.373 | 0.4105 | 800 | 6.6615 |
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| 7.373 | 0.4361 | 850 | 6.6191 |
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| 7.373 | 0.4618 | 900 | 6.6050 |
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| 7.373 | 0.4874 | 950 | 6.5849 |
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| 6.7222 | 0.5131 | 1000 | 6.5876 |
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| 6.7222 | 0.5387 | 1050 | 6.5620 |
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| 6.7222 | 0.5644 | 1100 | 6.5360 |
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| 6.7222 | 0.5900 | 1150 | 6.5137 |
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| 6.7222 | 0.6157 | 1200 | 6.4960 |
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| 6.7222 | 0.6414 | 1250 | 6.5057 |
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| 6.7222 | 0.6670 | 1300 | 6.4713 |
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| 6.7222 | 0.6927 | 1350 | 6.4503 |
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| 6.7222 | 0.7183 | 1400 | 6.4650 |
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| 6.7222 | 0.7440 | 1450 | 6.4619 |
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| 6.5431 | 0.7696 | 1500 | 6.4230 |
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| 6.5431 | 0.7953 | 1550 | 6.4370 |
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| 6.5431 | 0.8209 | 1600 | 6.3983 |
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| 6.5431 | 0.8466 | 1650 | 6.3970 |
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| 6.5431 | 0.8722 | 1700 | 6.3728 |
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| 6.5431 | 0.8979 | 1750 | 6.3749 |
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| 6.5431 | 0.9236 | 1800 | 6.3552 |
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| 6.5431 | 0.9492 | 1850 | 6.3818 |
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| 6.5431 | 0.9749 | 1900 | 6.3363 |
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| 6.5431 | 1.0005 | 1950 | 6.3270 |
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| 6.403 | 1.0262 | 2000 | 6.3019 |
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| 6.403 | 1.0518 | 2050 | 6.3032 |
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| 6.403 | 1.0775 | 2100 | 6.3362 |
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| 6.403 | 1.1031 | 2150 | 6.2926 |
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| 6.403 | 1.1288 | 2200 | 6.3152 |
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| 6.403 | 1.1544 | 2250 | 6.2974 |
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| 6.403 | 1.1801 | 2300 | 6.2926 |
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| 6.403 | 1.2057 | 2350 | 6.2686 |
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| 6.403 | 1.2314 | 2400 | 6.2473 |
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| 6.403 | 1.2571 | 2450 | 6.2667 |
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| 6.3403 | 1.2827 | 2500 | 6.2516 |
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| 6.3403 | 1.3084 | 2550 | 6.2522 |
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| 6.3403 | 1.3340 | 2600 | 6.2326 |
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| 6.3403 | 1.3597 | 2650 | 6.2164 |
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| 6.3403 | 1.3853 | 2700 | 6.2078 |
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| 6.3403 | 1.4110 | 2750 | 6.2337 |
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| 6.3403 | 1.4366 | 2800 | 6.1851 |
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| 6.3403 | 1.4623 | 2850 | 6.2106 |
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| 6.3403 | 1.4879 | 2900 | 6.1793 |
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| 6.3403 | 1.5136 | 2950 | 6.1576 |
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| 6.232 | 1.5393 | 3000 | 6.1549 |
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| 6.232 | 1.5649 | 3050 | 6.1438 |
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| 6.232 | 1.5906 | 3100 | 6.1346 |
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| 6.232 | 1.6162 | 3150 | 6.1283 |
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| 6.232 | 1.6419 | 3200 | 6.1182 |
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| 6.232 | 1.6675 | 3250 | 6.1374 |
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| 6.232 | 1.6932 | 3300 | 6.0896 |
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| 6.232 | 1.7188 | 3350 | 6.0939 |
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| 6.232 | 1.7445 | 3400 | 6.0837 |
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| 6.232 | 1.7701 | 3450 | 6.0493 |
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| 6.1268 | 1.7958 | 3500 | 6.0319 |
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| 118 |
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| 6.1268 | 1.8214 | 3550 | 6.0135 |
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| 119 |
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| 6.1268 | 1.8471 | 3600 | 5.9833 |
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| 120 |
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| 6.1268 | 1.8728 | 3650 | 5.9931 |
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| 6.1268 | 1.8984 | 3700 | 5.9830 |
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| 6.1268 | 1.9241 | 3750 | 5.9394 |
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| 6.1268 | 1.9497 | 3800 | 5.9464 |
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| 6.1268 | 1.9754 | 3850 | 5.9158 |
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| 6.1268 | 2.0010 | 3900 | 5.9190 |
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| 126 |
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| 6.1268 | 2.0267 | 3950 | 5.8944 |
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| 127 |
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| 6.0316 | 2.0523 | 4000 | 5.8898 |
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| 128 |
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| 6.0316 | 2.0780 | 4050 | 5.8728 |
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| 129 |
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| 6.0316 | 2.1036 | 4100 | 5.8521 |
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| 130 |
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| 6.0316 | 2.1293 | 4150 | 5.7986 |
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| 131 |
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| 6.0316 | 2.1550 | 4200 | 5.7913 |
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| 6.0316 | 2.1806 | 4250 | 5.7782 |
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| 133 |
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| 6.0316 | 2.2063 | 4300 | 5.7479 |
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| 6.0316 | 2.2319 | 4350 | 5.7143 |
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| 135 |
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| 6.0316 | 2.2576 | 4400 | 5.7298 |
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| 136 |
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| 6.0316 | 2.2832 | 4450 | 5.6914 |
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| 137 |
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| 5.845 | 2.3089 | 4500 | 5.7019 |
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| 138 |
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| 5.845 | 2.3345 | 4550 | 5.6568 |
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| 139 |
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| 5.845 | 2.3602 | 4600 | 5.6234 |
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| 140 |
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| 5.845 | 2.3858 | 4650 | 5.6043 |
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| 141 |
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| 5.845 | 2.4115 | 4700 | 5.5809 |
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| 142 |
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| 5.845 | 2.4371 | 4750 | 5.5478 |
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| 143 |
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| 5.845 | 2.4628 | 4800 | 5.5601 |
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| 144 |
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| 5.845 | 2.4885 | 4850 | 5.5353 |
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| 145 |
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| 5.845 | 2.5141 | 4900 | 5.5037 |
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| 146 |
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| 5.845 | 2.5398 | 4950 | 5.4888 |
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| 147 |
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| 5.6671 | 2.5654 | 5000 | 5.4820 |
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| 148 |
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| 5.6671 | 2.5911 | 5050 | 5.4534 |
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| 149 |
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| 5.6671 | 2.6167 | 5100 | 5.3811 |
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| 150 |
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| 5.6671 | 2.6424 | 5150 | 5.3747 |
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| 151 |
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| 5.6671 | 2.6680 | 5200 | 5.3791 |
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| 152 |
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| 5.6671 | 2.6937 | 5250 | 5.3361 |
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| 153 |
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| 5.6671 | 2.7193 | 5300 | 5.3293 |
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| 154 |
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| 5.6671 | 2.7450 | 5350 | 5.3004 |
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| 155 |
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| 5.6671 | 2.7707 | 5400 | 5.3009 |
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| 156 |
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| 5.6671 | 2.7963 | 5450 | 5.2918 |
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| 157 |
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| 5.4582 | 2.8220 | 5500 | 5.2683 |
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| 158 |
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| 5.4582 | 2.8476 | 5550 | 5.2561 |
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| 159 |
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| 5.4582 | 2.8733 | 5600 | 5.2350 |
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| 160 |
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| 5.4582 | 2.8989 | 5650 | 5.2271 |
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| 161 |
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| 5.4582 | 2.9246 | 5700 | 5.2199 |
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| 162 |
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| 5.4582 | 2.9502 | 5750 | 5.1929 |
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| 163 |
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| 5.4582 | 2.9759 | 5800 | 5.1695 |
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| 164 |
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| 5.4582 | 3.0015 | 5850 | 5.1418 |
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| 165 |
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| 5.4582 | 3.0272 | 5900 | 5.1523 |
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| 166 |
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| 5.4582 | 3.0528 | 5950 | 5.1319 |
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| 167 |
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| 5.3242 | 3.0785 | 6000 | 5.0999 |
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| 168 |
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| 5.3242 | 3.1042 | 6050 | 5.1123 |
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| 169 |
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| 5.3242 | 3.1298 | 6100 | 5.0591 |
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| 170 |
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| 5.3242 | 3.1555 | 6150 | 5.0828 |
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| 171 |
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| 5.3242 | 3.1811 | 6200 | 5.0369 |
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| 172 |
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| 5.3242 | 3.2068 | 6250 | 5.0435 |
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| 173 |
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| 5.3242 | 3.2324 | 6300 | 5.0053 |
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| 174 |
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| 5.3242 | 3.2581 | 6350 | 5.0086 |
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| 175 |
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| 5.3242 | 3.2837 | 6400 | 5.0027 |
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| 176 |
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| 5.3242 | 3.3094 | 6450 | 4.9799 |
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| 177 |
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| 5.144 | 3.3350 | 6500 | 4.9641 |
|
| 178 |
+
| 5.144 | 3.3607 | 6550 | 4.9339 |
|
| 179 |
+
| 5.144 | 3.3864 | 6600 | 4.9606 |
|
| 180 |
+
| 5.144 | 3.4120 | 6650 | 4.9373 |
|
| 181 |
+
| 5.144 | 3.4377 | 6700 | 4.9325 |
|
| 182 |
+
| 5.144 | 3.4633 | 6750 | 4.9073 |
|
| 183 |
+
| 5.144 | 3.4890 | 6800 | 4.9072 |
|
| 184 |
+
| 5.144 | 3.5146 | 6850 | 4.8895 |
|
| 185 |
+
| 5.144 | 3.5403 | 6900 | 4.8779 |
|
| 186 |
+
| 5.144 | 3.5659 | 6950 | 4.8425 |
|
| 187 |
+
| 5.0097 | 3.5916 | 7000 | 4.8450 |
|
| 188 |
+
| 5.0097 | 3.6172 | 7050 | 4.8468 |
|
| 189 |
+
| 5.0097 | 3.6429 | 7100 | 4.8333 |
|
| 190 |
+
| 5.0097 | 3.6685 | 7150 | 4.8398 |
|
| 191 |
+
| 5.0097 | 3.6942 | 7200 | 4.8169 |
|
| 192 |
+
| 5.0097 | 3.7199 | 7250 | 4.7936 |
|
| 193 |
+
| 5.0097 | 3.7455 | 7300 | 4.8094 |
|
| 194 |
+
| 5.0097 | 3.7712 | 7350 | 4.7648 |
|
| 195 |
+
| 5.0097 | 3.7968 | 7400 | 4.7333 |
|
| 196 |
+
| 5.0097 | 3.8225 | 7450 | 4.7667 |
|
| 197 |
+
| 4.8984 | 3.8481 | 7500 | 4.7508 |
|
| 198 |
+
| 4.8984 | 3.8738 | 7550 | 4.7341 |
|
| 199 |
+
| 4.8984 | 3.8994 | 7600 | 4.7046 |
|
| 200 |
+
| 4.8984 | 3.9251 | 7650 | 4.7154 |
|
| 201 |
+
| 4.8984 | 3.9507 | 7700 | 4.7260 |
|
| 202 |
+
| 4.8984 | 3.9764 | 7750 | 4.6964 |
|
| 203 |
+
| 4.8984 | 4.0021 | 7800 | 4.7233 |
|
| 204 |
+
| 4.8984 | 4.0277 | 7850 | 4.6740 |
|
| 205 |
+
| 4.8984 | 4.0534 | 7900 | 4.6793 |
|
| 206 |
+
| 4.8984 | 4.0790 | 7950 | 4.6636 |
|
| 207 |
+
| 4.8106 | 4.1047 | 8000 | 4.6204 |
|
| 208 |
+
| 4.8106 | 4.1303 | 8050 | 4.6228 |
|
| 209 |
+
| 4.8106 | 4.1560 | 8100 | 4.6408 |
|
| 210 |
+
| 4.8106 | 4.1816 | 8150 | 4.6353 |
|
| 211 |
+
| 4.8106 | 4.2073 | 8200 | 4.6116 |
|
| 212 |
+
| 4.8106 | 4.2329 | 8250 | 4.6294 |
|
| 213 |
+
| 4.8106 | 4.2586 | 8300 | 4.6225 |
|
| 214 |
+
| 4.8106 | 4.2842 | 8350 | 4.5824 |
|
| 215 |
+
| 4.8106 | 4.3099 | 8400 | 4.5927 |
|
| 216 |
+
| 4.8106 | 4.3356 | 8450 | 4.6046 |
|
| 217 |
+
| 4.7138 | 4.3612 | 8500 | 4.5761 |
|
| 218 |
+
| 4.7138 | 4.3869 | 8550 | 4.5544 |
|
| 219 |
+
| 4.7138 | 4.4125 | 8600 | 4.5403 |
|
| 220 |
+
| 4.7138 | 4.4382 | 8650 | 4.5484 |
|
| 221 |
+
| 4.7138 | 4.4638 | 8700 | 4.5567 |
|
| 222 |
+
| 4.7138 | 4.4895 | 8750 | 4.5486 |
|
| 223 |
+
| 4.7138 | 4.5151 | 8800 | 4.5225 |
|
| 224 |
+
| 4.7138 | 4.5408 | 8850 | 4.5496 |
|
| 225 |
+
| 4.7138 | 4.5664 | 8900 | 4.5178 |
|
| 226 |
+
| 4.7138 | 4.5921 | 8950 | 4.5103 |
|
| 227 |
+
| 4.6278 | 4.6178 | 9000 | 4.5105 |
|
| 228 |
+
| 4.6278 | 4.6434 | 9050 | 4.4755 |
|
| 229 |
+
| 4.6278 | 4.6691 | 9100 | 4.4663 |
|
| 230 |
+
| 4.6278 | 4.6947 | 9150 | 4.4631 |
|
| 231 |
+
| 4.6278 | 4.7204 | 9200 | 4.4652 |
|
| 232 |
+
| 4.6278 | 4.7460 | 9250 | 4.4661 |
|
| 233 |
+
| 4.6278 | 4.7717 | 9300 | 4.4558 |
|
| 234 |
+
| 4.6278 | 4.7973 | 9350 | 4.4496 |
|
| 235 |
+
| 4.6278 | 4.8230 | 9400 | 4.4307 |
|
| 236 |
+
| 4.6278 | 4.8486 | 9450 | 4.4371 |
|
| 237 |
+
| 4.529 | 4.8743 | 9500 | 4.4102 |
|
| 238 |
+
| 4.529 | 4.8999 | 9550 | 4.4126 |
|
| 239 |
+
| 4.529 | 4.9256 | 9600 | 4.4261 |
|
| 240 |
+
| 4.529 | 4.9513 | 9650 | 4.3980 |
|
| 241 |
+
| 4.529 | 4.9769 | 9700 | 4.3843 |
|
| 242 |
+
| 4.529 | 5.0026 | 9750 | 4.4079 |
|
| 243 |
+
| 4.529 | 5.0282 | 9800 | 4.3856 |
|
| 244 |
+
| 4.529 | 5.0539 | 9850 | 4.3672 |
|
| 245 |
+
| 4.529 | 5.0795 | 9900 | 4.3494 |
|
| 246 |
+
| 4.529 | 5.1052 | 9950 | 4.3469 |
|
| 247 |
+
| 4.455 | 5.1308 | 10000 | 4.3611 |
|
| 248 |
+
| 4.455 | 5.1565 | 10050 | 4.3583 |
|
| 249 |
+
| 4.455 | 5.1821 | 10100 | 4.3300 |
|
| 250 |
+
| 4.455 | 5.2078 | 10150 | 4.3422 |
|
| 251 |
+
| 4.455 | 5.2335 | 10200 | 4.3155 |
|
| 252 |
+
| 4.455 | 5.2591 | 10250 | 4.3318 |
|
| 253 |
+
| 4.455 | 5.2848 | 10300 | 4.3080 |
|
| 254 |
+
| 4.455 | 5.3104 | 10350 | 4.3206 |
|
| 255 |
+
| 4.455 | 5.3361 | 10400 | 4.3248 |
|
| 256 |
+
| 4.455 | 5.3617 | 10450 | 4.2913 |
|
| 257 |
+
| 4.3863 | 5.3874 | 10500 | 4.2628 |
|
| 258 |
+
| 4.3863 | 5.4130 | 10550 | 4.2803 |
|
| 259 |
+
| 4.3863 | 5.4387 | 10600 | 4.3030 |
|
| 260 |
+
| 4.3863 | 5.4643 | 10650 | 4.2712 |
|
| 261 |
+
| 4.3863 | 5.4900 | 10700 | 4.2587 |
|
| 262 |
+
| 4.3863 | 5.5156 | 10750 | 4.2406 |
|
| 263 |
+
| 4.3863 | 5.5413 | 10800 | 4.2384 |
|
| 264 |
+
| 4.3863 | 5.5670 | 10850 | 4.2464 |
|
| 265 |
+
| 4.3863 | 5.5926 | 10900 | 4.2406 |
|
| 266 |
+
| 4.3863 | 5.6183 | 10950 | 4.2707 |
|
| 267 |
+
| 4.3382 | 5.6439 | 11000 | 4.2268 |
|
| 268 |
+
| 4.3382 | 5.6696 | 11050 | 4.2084 |
|
| 269 |
+
| 4.3382 | 5.6952 | 11100 | 4.2366 |
|
| 270 |
+
| 4.3382 | 5.7209 | 11150 | 4.2112 |
|
| 271 |
+
| 4.3382 | 5.7465 | 11200 | 4.1928 |
|
| 272 |
+
| 4.3382 | 5.7722 | 11250 | 4.1709 |
|
| 273 |
+
| 4.3382 | 5.7978 | 11300 | 4.1960 |
|
| 274 |
+
| 4.3382 | 5.8235 | 11350 | 4.1926 |
|
| 275 |
+
| 4.3382 | 5.8492 | 11400 | 4.1710 |
|
| 276 |
+
| 4.3382 | 5.8748 | 11450 | 4.1900 |
|
| 277 |
+
| 4.2675 | 5.9005 | 11500 | 4.2041 |
|
| 278 |
|
| 279 |
|
| 280 |
### Framework versions
|
| 281 |
|
| 282 |
+
- Transformers 4.49.0.dev0
|
| 283 |
- Pytorch 2.5.1+cu121
|
| 284 |
- Datasets 3.2.0
|
| 285 |
- Tokenizers 0.21.0
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 327899058
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd6d84f1e86015932b79f4a5699c7628258588719b40f8a3e122e0ed11d18d66
|
| 3 |
size 327899058
|