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children_rarity_all_bnc_rarity
This model is a fine-tuned version of gpt2 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 4.3227
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 |
|---|---|---|---|
| 6.7137 | 0.29 | 500 | 5.6432 |
| 5.3378 | 0.59 | 1000 | 5.2047 |
| 5.0051 | 0.88 | 1500 | 4.9540 |
| 4.7284 | 1.17 | 2000 | 4.8094 |
| 4.565 | 1.46 | 2500 | 4.6819 |
| 4.461 | 1.76 | 3000 | 4.5795 |
| 4.3297 | 2.05 | 3500 | 4.5018 |
| 4.136 | 2.34 | 4000 | 4.4570 |
| 4.1172 | 2.63 | 4500 | 4.3968 |
| 4.0704 | 2.93 | 5000 | 4.3422 |
| 3.8703 | 3.22 | 5500 | 4.3401 |
| 3.8155 | 3.51 | 6000 | 4.3116 |
| 3.79 | 3.8 | 6500 | 4.2753 |
| 3.6938 | 4.1 | 7000 | 4.2763 |
| 3.5269 | 4.39 | 7500 | 4.2704 |
| 3.5216 | 4.68 | 8000 | 4.2539 |
| 3.5087 | 4.97 | 8500 | 4.2424 |
| 3.3411 | 5.27 | 9000 | 4.2559 |
| 3.3301 | 5.56 | 9500 | 4.2550 |
| 3.3351 | 5.85 | 10000 | 4.2540 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.13.0
- Tokenizers 0.13.3
