<!-- 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. -->
gpt2-ear_1-hs_cn_decay
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5369
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 |
---|---|---|---|
74.0475 | 0.02 | 10 | 72.6562 |
45.5005 | 0.04 | 20 | 34.4060 |
10.921 | 0.06 | 30 | 11.2525 |
2.7976 | 0.08 | 40 | 4.4890 |
0.0358 | 0.1 | 50 | 2.1808 |
-1.4128 | 0.12 | 60 | 1.1029 |
-1.7651 | 0.14 | 70 | 0.9684 |
-1.9542 | 0.16 | 80 | 0.7785 |
-2.1013 | 0.18 | 90 | 0.6533 |
-2.14 | 0.2 | 100 | 0.6666 |
-2.1001 | 0.22 | 110 | 0.6334 |
-2.1169 | 0.24 | 120 | 0.5926 |
-2.1216 | 0.26 | 130 | 0.5903 |
-2.1191 | 0.28 | 140 | 0.5741 |
-2.1319 | 0.3 | 150 | 0.5702 |
-2.122 | 0.32 | 160 | 0.5679 |
-2.0754 | 0.34 | 170 | 0.5671 |
-2.06 | 0.36 | 180 | 0.5630 |
-2.0477 | 0.38 | 190 | 0.5591 |
-2.0569 | 0.4 | 200 | 0.5546 |
-1.9666 | 0.42 | 210 | 0.5513 |
-1.9673 | 0.44 | 220 | 0.5558 |
-2.0044 | 0.46 | 230 | 0.5560 |
-1.9923 | 0.48 | 240 | 0.5507 |
-1.9056 | 0.5 | 250 | 0.5494 |
-1.9658 | 0.52 | 260 | 0.5498 |
-1.9104 | 0.54 | 270 | 0.5474 |
-1.8967 | 0.56 | 280 | 0.5459 |
-1.8759 | 0.58 | 290 | 0.5458 |
-1.8432 | 0.6 | 300 | 0.5477 |
-1.835 | 0.62 | 310 | 0.5446 |
-1.7823 | 0.64 | 320 | 0.5448 |
-1.8058 | 0.66 | 330 | 0.5412 |
-1.8138 | 0.68 | 340 | 0.5375 |
-1.7656 | 0.7 | 350 | 0.5385 |
-1.7174 | 0.72 | 360 | 0.5376 |
-1.7461 | 0.74 | 370 | 0.5365 |
-1.7145 | 0.76 | 380 | 0.5342 |
-1.6737 | 0.78 | 390 | 0.5326 |
-1.7162 | 0.8 | 400 | 0.5342 |
-1.6792 | 0.82 | 410 | 0.5361 |
-1.6783 | 0.84 | 420 | 0.5369 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.11.0+cu113
- Datasets 2.6.1
- Tokenizers 0.12.1