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gpt2-kit-TLDR_30
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6706
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 6 | 3.5139 |
| No log | 2.0 | 12 | 2.8465 |
| No log | 3.0 | 18 | 2.4698 |
| No log | 4.0 | 24 | 2.2862 |
| No log | 5.0 | 30 | 2.1564 |
| No log | 6.0 | 36 | 2.0529 |
| No log | 7.0 | 42 | 1.9766 |
| No log | 8.0 | 48 | 1.9204 |
| No log | 9.0 | 54 | 1.8798 |
| No log | 10.0 | 60 | 1.8424 |
| No log | 11.0 | 66 | 1.8088 |
| No log | 12.0 | 72 | 1.7897 |
| No log | 13.0 | 78 | 1.7650 |
| No log | 14.0 | 84 | 1.7472 |
| No log | 15.0 | 90 | 1.7345 |
| No log | 16.0 | 96 | 1.7275 |
| No log | 17.0 | 102 | 1.7161 |
| No log | 18.0 | 108 | 1.7056 |
| No log | 19.0 | 114 | 1.6984 |
| No log | 20.0 | 120 | 1.6913 |
| No log | 21.0 | 126 | 1.6857 |
| No log | 22.0 | 132 | 1.6875 |
| No log | 23.0 | 138 | 1.6876 |
| No log | 24.0 | 144 | 1.6846 |
| No log | 25.0 | 150 | 1.6813 |
| No log | 26.0 | 156 | 1.6776 |
| No log | 27.0 | 162 | 1.6740 |
| No log | 28.0 | 168 | 1.6725 |
| No log | 29.0 | 174 | 1.6716 |
| No log | 30.0 | 180 | 1.6706 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.12.0
- Tokenizers 0.12.1
