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gpt2-kl_1_06_hscnspecial-hs_cn
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5629
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 |
---|---|---|---|
74.052 | 0.02 | 10 | 69.5755 |
46.65 | 0.04 | 20 | 32.9625 |
13.934 | 0.06 | 30 | 10.6496 |
7.3279 | 0.08 | 40 | 4.6536 |
3.3304 | 0.1 | 50 | 2.0489 |
1.8218 | 0.12 | 60 | 1.0747 |
1.5128 | 0.14 | 70 | 0.9476 |
1.3618 | 0.16 | 80 | 0.7425 |
1.266 | 0.18 | 90 | 0.6568 |
1.2051 | 0.2 | 100 | 0.6164 |
1.0429 | 0.22 | 110 | 0.6028 |
1.0656 | 0.24 | 120 | 0.5926 |
1.1331 | 0.26 | 130 | 0.5911 |
1.0681 | 0.28 | 140 | 0.5848 |
1.0687 | 0.3 | 150 | 0.5777 |
1.0282 | 0.32 | 160 | 0.5811 |
0.9522 | 0.34 | 170 | 0.5803 |
1.114 | 0.36 | 180 | 0.5679 |
1.1167 | 0.38 | 190 | 0.5643 |
1.0369 | 0.4 | 200 | 0.5615 |
1.1708 | 0.42 | 210 | 0.5631 |
1.1546 | 0.44 | 220 | 0.5574 |
0.951 | 0.46 | 230 | 0.5649 |
1.0367 | 0.48 | 240 | 0.5596 |
1.0206 | 0.5 | 250 | 0.5629 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.12.1