metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: gpt2-kl_01_04_hscnspecial-hs_cn
results: []
gpt2-kl_01_04_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: 0.5583
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 |
|---|---|---|---|
| 73.5419 | 0.02 | 10 | 69.5826 |
| 46.0912 | 0.04 | 20 | 32.9478 |
| 13.5577 | 0.06 | 30 | 10.6427 |
| 6.8429 | 0.08 | 40 | 4.2253 |
| 3.5596 | 0.1 | 50 | 2.0345 |
| 1.4308 | 0.12 | 60 | 1.0810 |
| 1.0569 | 0.14 | 70 | 0.8577 |
| 1.0017 | 0.16 | 80 | 0.8291 |
| 0.7285 | 0.18 | 90 | 0.6919 |
| 0.7232 | 0.2 | 100 | 0.6110 |
| 0.5979 | 0.22 | 110 | 0.6133 |
| 0.6368 | 0.24 | 120 | 0.6051 |
| 0.6606 | 0.26 | 130 | 0.6075 |
| 0.6428 | 0.28 | 140 | 0.5920 |
| 0.6106 | 0.3 | 150 | 0.5754 |
| 0.6218 | 0.32 | 160 | 0.5741 |
| 0.534 | 0.34 | 170 | 0.5633 |
| 0.6411 | 0.36 | 180 | 0.5685 |
| 0.6353 | 0.38 | 190 | 0.5805 |
| 0.5922 | 0.4 | 200 | 0.5556 |
| 0.6924 | 0.42 | 210 | 0.5595 |
| 0.6429 | 0.44 | 220 | 0.5601 |
| 0.5428 | 0.46 | 230 | 0.5583 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 1.12.0a0+bd13bc6
- Datasets 2.12.0
- Tokenizers 0.13.3