license, tags, datasets, model-index
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cbt-guten-rarity-all-mixed-cut-2p6k
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3210
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.6926 | 0.29 | 500 | 5.6317 |
| 5.3392 | 0.59 | 1000 | 5.1955 |
| 5.0004 | 0.88 | 1500 | 4.9509 |
| 4.7275 | 1.17 | 2000 | 4.8088 |
| 4.5644 | 1.46 | 2500 | 4.6844 |
| 4.4518 | 1.76 | 3000 | 4.5759 |
| 4.3336 | 2.05 | 3500 | 4.5021 |
| 4.137 | 2.34 | 4000 | 4.4540 |
| 4.1052 | 2.63 | 4500 | 4.3960 |
| 4.0754 | 2.93 | 5000 | 4.3380 |
| 3.8637 | 3.22 | 5500 | 4.3349 |
| 3.8081 | 3.51 | 6000 | 4.3053 |
| 3.7909 | 3.8 | 6500 | 4.2708 |
| 3.6948 | 4.1 | 7000 | 4.2703 |
| 3.5239 | 4.39 | 7500 | 4.2668 |
| 3.5181 | 4.68 | 8000 | 4.2517 |
| 3.5066 | 4.97 | 8500 | 4.2362 |
| 3.3432 | 5.27 | 9000 | 4.2494 |
| 3.3256 | 5.56 | 9500 | 4.2492 |
| 3.3315 | 5.85 | 10000 | 4.2485 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3