Model save
Browse files- README.md +215 -0
- config.json +19 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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| 3 |
+
tags:
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| 4 |
+
- generated_from_trainer
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| 5 |
+
metrics:
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| 6 |
+
- accuracy
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| 7 |
+
model-index:
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| 8 |
+
- name: reverseadd_lr5e-4_batch128_train1-16_eval18
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| 9 |
+
results: []
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 13 |
+
should probably proofread and complete it, then remove this comment. -->
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| 14 |
+
|
| 15 |
+
# reverseadd_lr5e-4_batch128_train1-16_eval18
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| 16 |
+
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| 17 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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| 18 |
+
It achieves the following results on the evaluation set:
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| 19 |
+
- Loss: 0.0224
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| 20 |
+
- Accuracy: 0.9016
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| 21 |
+
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| 22 |
+
## Model description
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| 23 |
+
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| 24 |
+
More information needed
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| 25 |
+
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| 26 |
+
## Intended uses & limitations
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| 27 |
+
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| 28 |
+
More information needed
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| 29 |
+
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| 30 |
+
## Training and evaluation data
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| 31 |
+
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| 32 |
+
More information needed
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| 33 |
+
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| 34 |
+
## Training procedure
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| 35 |
+
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| 36 |
+
### Training hyperparameters
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| 37 |
+
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| 38 |
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The following hyperparameters were used during training:
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| 39 |
+
- learning_rate: 0.0005
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| 40 |
+
- train_batch_size: 128
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| 41 |
+
- eval_batch_size: 512
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| 42 |
+
- seed: 23452399
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| 43 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 44 |
+
- lr_scheduler_type: cosine
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| 45 |
+
- lr_scheduler_warmup_ratio: 0.1
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| 46 |
+
- num_epochs: 1
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| 47 |
+
|
| 48 |
+
### Training results
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| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 51 |
+
|:-------------:|:------:|:-----:|:---------------:|:--------:|
|
| 52 |
+
| No log | 0 | 0 | 2.7172 | 0.0 |
|
| 53 |
+
| 2.2892 | 0.0064 | 100 | 2.3348 | 0.0 |
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| 54 |
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| 2.258 | 0.0128 | 200 | 2.3160 | 0.0 |
|
| 55 |
+
| 2.1235 | 0.0192 | 300 | 2.2796 | 0.0 |
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| 56 |
+
| 2.0701 | 0.0256 | 400 | 2.1851 | 0.0 |
|
| 57 |
+
| 2.0374 | 0.032 | 500 | 2.1512 | 0.0 |
|
| 58 |
+
| 2.0355 | 0.0384 | 600 | 2.1576 | 0.0 |
|
| 59 |
+
| 1.8627 | 0.0448 | 700 | 2.1197 | 0.0 |
|
| 60 |
+
| 1.7195 | 0.0512 | 800 | 1.7202 | 0.0 |
|
| 61 |
+
| 1.4323 | 0.0576 | 900 | 1.6559 | 0.0 |
|
| 62 |
+
| 1.5543 | 0.064 | 1000 | 1.8694 | 0.0 |
|
| 63 |
+
| 1.3706 | 0.0704 | 1100 | 1.4703 | 0.0 |
|
| 64 |
+
| 1.4243 | 0.0768 | 1200 | 1.6482 | 0.0 |
|
| 65 |
+
| 1.3289 | 0.0832 | 1300 | 1.4120 | 0.0002 |
|
| 66 |
+
| 1.4129 | 0.0896 | 1400 | 1.6423 | 0.0 |
|
| 67 |
+
| 1.3152 | 0.096 | 1500 | 1.4506 | 0.0 |
|
| 68 |
+
| 1.3571 | 0.1024 | 1600 | 1.4370 | 0.0 |
|
| 69 |
+
| 1.6367 | 0.1088 | 1700 | 1.3759 | 0.0001 |
|
| 70 |
+
| 1.3094 | 0.1152 | 1800 | 1.4232 | 0.0002 |
|
| 71 |
+
| 1.1495 | 0.1216 | 1900 | 1.3357 | 0.0003 |
|
| 72 |
+
| 1.0802 | 0.128 | 2000 | 1.3051 | 0.0007 |
|
| 73 |
+
| 1.1652 | 0.1344 | 2100 | 1.2482 | 0.0012 |
|
| 74 |
+
| 1.031 | 0.1408 | 2200 | 1.3228 | 0.0004 |
|
| 75 |
+
| 1.3256 | 0.1472 | 2300 | 1.4119 | 0.0026 |
|
| 76 |
+
| 1.1754 | 0.1536 | 2400 | 1.3307 | 0.0011 |
|
| 77 |
+
| 1.1717 | 0.16 | 2500 | 1.2862 | 0.0032 |
|
| 78 |
+
| 1.169 | 0.1664 | 2600 | 1.3210 | 0.0 |
|
| 79 |
+
| 1.3165 | 0.1728 | 2700 | 1.4189 | 0.0006 |
|
| 80 |
+
| 1.0919 | 0.1792 | 2800 | 1.3775 | 0.0008 |
|
| 81 |
+
| 1.1487 | 0.1856 | 2900 | 1.2421 | 0.0031 |
|
| 82 |
+
| 1.1452 | 0.192 | 3000 | 1.2305 | 0.0015 |
|
| 83 |
+
| 1.1541 | 0.1984 | 3100 | 1.2455 | 0.001 |
|
| 84 |
+
| 1.1176 | 0.2048 | 3200 | 1.2380 | 0.0017 |
|
| 85 |
+
| 1.2661 | 0.2112 | 3300 | 1.2565 | 0.0002 |
|
| 86 |
+
| 1.138 | 0.2176 | 3400 | 1.2571 | 0.0003 |
|
| 87 |
+
| 1.057 | 0.224 | 3500 | 1.2380 | 0.0024 |
|
| 88 |
+
| 1.121 | 0.2304 | 3600 | 1.2027 | 0.001 |
|
| 89 |
+
| 1.1242 | 0.2368 | 3700 | 1.2649 | 0.0003 |
|
| 90 |
+
| 1.1785 | 0.2432 | 3800 | 1.2066 | 0.0032 |
|
| 91 |
+
| 1.0537 | 0.2496 | 3900 | 1.2031 | 0.0021 |
|
| 92 |
+
| 1.0524 | 0.256 | 4000 | 1.2628 | 0.0001 |
|
| 93 |
+
| 1.1612 | 0.2624 | 4100 | 1.2449 | 0.0045 |
|
| 94 |
+
| 1.1364 | 0.2688 | 4200 | 1.3185 | 0.0014 |
|
| 95 |
+
| 1.1534 | 0.2752 | 4300 | 1.2944 | 0.0004 |
|
| 96 |
+
| 1.019 | 0.2816 | 4400 | 1.1716 | 0.0021 |
|
| 97 |
+
| 1.097 | 0.288 | 4500 | 1.2061 | 0.0017 |
|
| 98 |
+
| 1.1237 | 0.2944 | 4600 | 1.1925 | 0.0021 |
|
| 99 |
+
| 1.1564 | 0.3008 | 4700 | 1.2658 | 0.0007 |
|
| 100 |
+
| 1.0692 | 0.3072 | 4800 | 1.2198 | 0.0028 |
|
| 101 |
+
| 1.1373 | 0.3136 | 4900 | 1.2119 | 0.0032 |
|
| 102 |
+
| 1.2259 | 0.32 | 5000 | 1.2295 | 0.0021 |
|
| 103 |
+
| 1.0779 | 0.3264 | 5100 | 1.1763 | 0.0028 |
|
| 104 |
+
| 1.2185 | 0.3328 | 5200 | 1.1978 | 0.0029 |
|
| 105 |
+
| 1.1656 | 0.3392 | 5300 | 1.1713 | 0.0043 |
|
| 106 |
+
| 1.0668 | 0.3456 | 5400 | 1.1996 | 0.0018 |
|
| 107 |
+
| 1.2064 | 0.352 | 5500 | 1.6407 | 0.0014 |
|
| 108 |
+
| 1.0549 | 0.3584 | 5600 | 1.2510 | 0.0026 |
|
| 109 |
+
| 1.1008 | 0.3648 | 5700 | 1.2154 | 0.0011 |
|
| 110 |
+
| 1.0071 | 0.3712 | 5800 | 1.1341 | 0.0045 |
|
| 111 |
+
| 1.0369 | 0.3776 | 5900 | 1.3819 | 0.0037 |
|
| 112 |
+
| 1.1016 | 0.384 | 6000 | 1.1956 | 0.0051 |
|
| 113 |
+
| 1.0996 | 0.3904 | 6100 | 1.2247 | 0.0012 |
|
| 114 |
+
| 0.5915 | 0.3968 | 6200 | 0.8710 | 0.008 |
|
| 115 |
+
| 0.6179 | 0.4032 | 6300 | 0.8136 | 0.0061 |
|
| 116 |
+
| 0.4547 | 0.4096 | 6400 | 0.5686 | 0.0239 |
|
| 117 |
+
| 0.354 | 0.416 | 6500 | 0.5397 | 0.0236 |
|
| 118 |
+
| 0.3744 | 0.4224 | 6600 | 0.4590 | 0.0251 |
|
| 119 |
+
| 0.26 | 0.4288 | 6700 | 0.6331 | 0.015 |
|
| 120 |
+
| 0.344 | 0.4352 | 6800 | 0.6314 | 0.0188 |
|
| 121 |
+
| 0.4067 | 0.4416 | 6900 | 0.7400 | 0.0255 |
|
| 122 |
+
| 0.2986 | 0.448 | 7000 | 0.3827 | 0.0396 |
|
| 123 |
+
| 0.2436 | 0.4544 | 7100 | 0.3085 | 0.0414 |
|
| 124 |
+
| 0.4185 | 0.4608 | 7200 | 1.4287 | 0.0128 |
|
| 125 |
+
| 0.4518 | 0.4672 | 7300 | 0.5817 | 0.0132 |
|
| 126 |
+
| 0.3111 | 0.4736 | 7400 | 0.4177 | 0.037 |
|
| 127 |
+
| 0.216 | 0.48 | 7500 | 0.2917 | 0.0581 |
|
| 128 |
+
| 0.2088 | 0.4864 | 7600 | 0.3598 | 0.0485 |
|
| 129 |
+
| 0.0696 | 0.4928 | 7700 | 0.4473 | 0.049 |
|
| 130 |
+
| 0.0216 | 0.4992 | 7800 | 0.2616 | 0.2522 |
|
| 131 |
+
| 0.2124 | 0.5056 | 7900 | 0.9263 | 0.0256 |
|
| 132 |
+
| 0.0403 | 0.512 | 8000 | 0.3968 | 0.2222 |
|
| 133 |
+
| 0.1762 | 0.5184 | 8100 | 0.4141 | 0.0953 |
|
| 134 |
+
| 0.0763 | 0.5248 | 8200 | 0.5025 | 0.1915 |
|
| 135 |
+
| 0.0135 | 0.5312 | 8300 | 0.1529 | 0.5457 |
|
| 136 |
+
| 0.0651 | 0.5376 | 8400 | 0.4472 | 0.2325 |
|
| 137 |
+
| 0.0322 | 0.544 | 8500 | 0.1692 | 0.527 |
|
| 138 |
+
| 0.0337 | 0.5504 | 8600 | 0.4485 | 0.0934 |
|
| 139 |
+
| 0.0404 | 0.5568 | 8700 | 0.5779 | 0.1098 |
|
| 140 |
+
| 0.0106 | 0.5632 | 8800 | 0.0925 | 0.677 |
|
| 141 |
+
| 0.0737 | 0.5696 | 8900 | 0.2228 | 0.3378 |
|
| 142 |
+
| 0.1615 | 0.576 | 9000 | 0.6073 | 0.2127 |
|
| 143 |
+
| 0.014 | 0.5824 | 9100 | 0.1522 | 0.5827 |
|
| 144 |
+
| 0.0254 | 0.5888 | 9200 | 0.2528 | 0.3897 |
|
| 145 |
+
| 0.027 | 0.5952 | 9300 | 0.1570 | 0.5513 |
|
| 146 |
+
| 0.0424 | 0.6016 | 9400 | 0.4324 | 0.305 |
|
| 147 |
+
| 0.0447 | 0.608 | 9500 | 0.1384 | 0.4607 |
|
| 148 |
+
| 0.0096 | 0.6144 | 9600 | 0.0450 | 0.8422 |
|
| 149 |
+
| 0.0015 | 0.6208 | 9700 | 0.0473 | 0.8069 |
|
| 150 |
+
| 0.061 | 0.6272 | 9800 | 0.1969 | 0.4756 |
|
| 151 |
+
| 0.0067 | 0.6336 | 9900 | 0.1502 | 0.6644 |
|
| 152 |
+
| 0.0147 | 0.64 | 10000 | 0.2423 | 0.6098 |
|
| 153 |
+
| 0.0153 | 0.6464 | 10100 | 0.0963 | 0.6857 |
|
| 154 |
+
| 0.0088 | 0.6528 | 10200 | 0.0690 | 0.7036 |
|
| 155 |
+
| 0.0117 | 0.6592 | 10300 | 0.1407 | 0.5781 |
|
| 156 |
+
| 0.0166 | 0.6656 | 10400 | 0.1236 | 0.5248 |
|
| 157 |
+
| 0.0125 | 0.672 | 10500 | 0.5072 | 0.2778 |
|
| 158 |
+
| 0.0174 | 0.6784 | 10600 | 0.0496 | 0.8075 |
|
| 159 |
+
| 0.0117 | 0.6848 | 10700 | 0.2194 | 0.4573 |
|
| 160 |
+
| 0.0007 | 0.6912 | 10800 | 0.2229 | 0.3733 |
|
| 161 |
+
| 0.0078 | 0.6976 | 10900 | 0.0266 | 0.8666 |
|
| 162 |
+
| 0.0177 | 0.704 | 11000 | 0.2583 | 0.4503 |
|
| 163 |
+
| 0.0021 | 0.7104 | 11100 | 0.1584 | 0.5934 |
|
| 164 |
+
| 0.0039 | 0.7168 | 11200 | 0.2768 | 0.3854 |
|
| 165 |
+
| 0.0081 | 0.7232 | 11300 | 0.0643 | 0.7749 |
|
| 166 |
+
| 0.0014 | 0.7296 | 11400 | 0.0593 | 0.7799 |
|
| 167 |
+
| 0.0065 | 0.736 | 11500 | 0.0088 | 0.9558 |
|
| 168 |
+
| 0.0001 | 0.7424 | 11600 | 0.0826 | 0.6357 |
|
| 169 |
+
| 0.0247 | 0.7488 | 11700 | 0.0353 | 0.8336 |
|
| 170 |
+
| 0.0091 | 0.7552 | 11800 | 0.2481 | 0.4621 |
|
| 171 |
+
| 0.0002 | 0.7616 | 11900 | 0.0292 | 0.8518 |
|
| 172 |
+
| 0.0004 | 0.768 | 12000 | 0.0318 | 0.8825 |
|
| 173 |
+
| 0.0001 | 0.7744 | 12100 | 0.1417 | 0.5748 |
|
| 174 |
+
| 0.001 | 0.7808 | 12200 | 0.0838 | 0.7244 |
|
| 175 |
+
| 0.0004 | 0.7872 | 12300 | 0.0746 | 0.7002 |
|
| 176 |
+
| 0.0005 | 0.7936 | 12400 | 0.0300 | 0.845 |
|
| 177 |
+
| 0.0004 | 0.8 | 12500 | 0.0595 | 0.7848 |
|
| 178 |
+
| 0.0005 | 0.8064 | 12600 | 0.0709 | 0.7342 |
|
| 179 |
+
| 0.0 | 0.8128 | 12700 | 0.0175 | 0.9148 |
|
| 180 |
+
| 0.0 | 0.8192 | 12800 | 0.0264 | 0.8708 |
|
| 181 |
+
| 0.0 | 0.8256 | 12900 | 0.0269 | 0.8557 |
|
| 182 |
+
| 0.0 | 0.832 | 13000 | 0.0497 | 0.7694 |
|
| 183 |
+
| 0.0 | 0.8384 | 13100 | 0.0724 | 0.7145 |
|
| 184 |
+
| 0.0 | 0.8448 | 13200 | 0.0548 | 0.7982 |
|
| 185 |
+
| 0.0 | 0.8512 | 13300 | 0.0396 | 0.8365 |
|
| 186 |
+
| 0.0 | 0.8576 | 13400 | 0.0380 | 0.8427 |
|
| 187 |
+
| 0.0 | 0.864 | 13500 | 0.0295 | 0.8745 |
|
| 188 |
+
| 0.0 | 0.8704 | 13600 | 0.0239 | 0.8958 |
|
| 189 |
+
| 0.0 | 0.8768 | 13700 | 0.0219 | 0.9013 |
|
| 190 |
+
| 0.0 | 0.8832 | 13800 | 0.0222 | 0.9009 |
|
| 191 |
+
| 0.0 | 0.8896 | 13900 | 0.0298 | 0.869 |
|
| 192 |
+
| 0.0 | 0.896 | 14000 | 0.0260 | 0.883 |
|
| 193 |
+
| 0.0 | 0.9024 | 14100 | 0.0249 | 0.8885 |
|
| 194 |
+
| 0.0 | 0.9088 | 14200 | 0.0253 | 0.8841 |
|
| 195 |
+
| 0.0 | 0.9152 | 14300 | 0.0242 | 0.8904 |
|
| 196 |
+
| 0.0 | 0.9216 | 14400 | 0.0238 | 0.8932 |
|
| 197 |
+
| 0.0 | 0.928 | 14500 | 0.0237 | 0.894 |
|
| 198 |
+
| 0.0 | 0.9344 | 14600 | 0.0236 | 0.8948 |
|
| 199 |
+
| 0.0 | 0.9408 | 14700 | 0.0235 | 0.8952 |
|
| 200 |
+
| 0.0 | 0.9472 | 14800 | 0.0230 | 0.8979 |
|
| 201 |
+
| 0.0 | 0.9536 | 14900 | 0.0228 | 0.8996 |
|
| 202 |
+
| 0.0 | 0.96 | 15000 | 0.0226 | 0.9006 |
|
| 203 |
+
| 0.0 | 0.9664 | 15100 | 0.0226 | 0.9008 |
|
| 204 |
+
| 0.0 | 0.9728 | 15200 | 0.0225 | 0.9011 |
|
| 205 |
+
| 0.0 | 0.9792 | 15300 | 0.0224 | 0.9015 |
|
| 206 |
+
| 0.0 | 0.9856 | 15400 | 0.0224 | 0.9017 |
|
| 207 |
+
| 0.0 | 0.992 | 15500 | 0.0224 | 0.9016 |
|
| 208 |
+
| 0.0 | 0.9984 | 15600 | 0.0224 | 0.9016 |
|
| 209 |
+
|
| 210 |
+
|
| 211 |
+
### Framework versions
|
| 212 |
+
|
| 213 |
+
- Transformers 4.50.3
|
| 214 |
+
- Pytorch 2.6.0+cu124
|
| 215 |
+
- Tokenizers 0.21.1
|
config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"NanoGPT"
|
| 4 |
+
],
|
| 5 |
+
"bias": true,
|
| 6 |
+
"block_size": 256,
|
| 7 |
+
"dropout": 0.0,
|
| 8 |
+
"mlp_dim": 4,
|
| 9 |
+
"model_type": "nanogpt",
|
| 10 |
+
"n_embd": 384,
|
| 11 |
+
"n_head": 6,
|
| 12 |
+
"n_layer": 6,
|
| 13 |
+
"nonlinearity": "RELU",
|
| 14 |
+
"torch_dtype": "float32",
|
| 15 |
+
"transformers_version": "4.50.3",
|
| 16 |
+
"use_NoPE": true,
|
| 17 |
+
"use_layernorm": true,
|
| 18 |
+
"vocab_size": 14
|
| 19 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0fbd4f36993256e5b266c7a30a7ae17653e4bff6c148f7e1a8a9f24274b59f10
|
| 3 |
+
size 42640744
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c5da1031af70fd67bfe9784c52c5399aa60f9000842c03c9e9abc6b84bff7d08
|
| 3 |
+
size 5368
|