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gpt2-synth
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1783
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
73.0212 | 0.02 | 10 | 65.7853 |
38.3819 | 0.04 | 20 | 20.2835 |
11.6035 | 0.07 | 30 | 9.2104 |
7.5582 | 0.09 | 40 | 3.6178 |
2.1601 | 0.11 | 50 | 1.5943 |
0.9769 | 0.13 | 60 | 0.9299 |
0.7577 | 0.15 | 70 | 0.6257 |
0.5434 | 0.18 | 80 | 0.4690 |
0.4756 | 0.2 | 90 | 0.5805 |
0.4247 | 0.22 | 100 | 0.3353 |
0.3179 | 0.24 | 110 | 0.2710 |
0.2476 | 0.26 | 120 | 0.2642 |
0.2604 | 0.29 | 130 | 0.2667 |
0.212 | 0.31 | 140 | 0.2723 |
0.2819 | 0.33 | 150 | 0.2356 |
0.2693 | 0.35 | 160 | 0.2283 |
0.2415 | 0.37 | 170 | 0.2297 |
0.2237 | 0.4 | 180 | 0.2207 |
0.2412 | 0.42 | 190 | 0.2204 |
0.2245 | 0.44 | 200 | 0.2191 |
0.2641 | 0.46 | 210 | 0.2112 |
0.22 | 0.48 | 220 | 0.2096 |
0.1912 | 0.51 | 230 | 0.2096 |
0.2152 | 0.53 | 240 | 0.2067 |
0.2497 | 0.55 | 250 | 0.2028 |
0.2042 | 0.57 | 260 | 0.2025 |
0.2263 | 0.59 | 270 | 0.2003 |
0.2047 | 0.62 | 280 | 0.1994 |
0.2081 | 0.64 | 290 | 0.1979 |
0.203 | 0.66 | 300 | 0.1954 |
0.1872 | 0.68 | 310 | 0.1954 |
0.1669 | 0.7 | 320 | 0.1958 |
0.1845 | 0.73 | 330 | 0.1935 |
0.1917 | 0.75 | 340 | 0.1913 |
0.2066 | 0.77 | 350 | 0.1880 |
0.1873 | 0.79 | 360 | 0.1880 |
0.1889 | 0.81 | 370 | 0.1867 |
0.2196 | 0.84 | 380 | 0.1853 |
0.2062 | 0.86 | 390 | 0.1848 |
0.1802 | 0.88 | 400 | 0.1836 |
0.1754 | 0.9 | 410 | 0.1828 |
0.1997 | 0.92 | 420 | 0.1813 |
0.2072 | 0.95 | 430 | 0.1790 |
0.19 | 0.97 | 440 | 0.1774 |
0.2208 | 0.99 | 450 | 0.1785 |
0.1706 | 1.01 | 460 | 0.1790 |
0.1534 | 1.03 | 470 | 0.1783 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.11.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1