<!-- 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. -->
gpt-expt-sp-v3-K-600-MA-Mac-actions-kmeans-v4
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0162
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1593 | 21.46 | 5000 | 0.0853 |
| 0.0847 | 42.92 | 10000 | 0.1198 |
| 0.0406 | 64.38 | 15000 | 0.0613 |
| 0.0324 | 85.83 | 20000 | 0.0307 |
| 0.0238 | 107.3 | 25000 | 0.0211 |
| 0.0207 | 128.75 | 30000 | 0.0184 |
| 0.0193 | 150.21 | 35000 | 0.0176 |
| 0.0185 | 171.67 | 40000 | 0.0171 |
| 0.018 | 193.13 | 45000 | 0.0170 |
| 0.0177 | 214.59 | 50000 | 0.0167 |
| 0.0174 | 236.05 | 55000 | 0.0167 |
| 0.0172 | 257.51 | 60000 | 0.0166 |
| 0.017 | 278.97 | 65000 | 0.0165 |
| 0.0169 | 300.43 | 70000 | 0.0164 |
| 0.0168 | 321.89 | 75000 | 0.0164 |
| 0.0167 | 343.35 | 80000 | 0.0163 |
| 0.0166 | 364.8 | 85000 | 0.0163 |
| 0.0165 | 386.27 | 90000 | 0.0163 |
| 0.0164 | 407.72 | 95000 | 0.0162 |
| 0.0164 | 429.18 | 100000 | 0.0162 |
| 0.0163 | 450.64 | 105000 | 0.0162 |
| 0.0163 | 472.1 | 110000 | 0.0162 |
| 0.0163 | 493.56 | 115000 | 0.0162 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2
