metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_more_function_53
results: []
GPT2_more_function_53
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3533
- Accuracy: 0.2671
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 53
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.6324 | 1.0 | 6417 | 5.4069 | 0.1901 |
| 4.9863 | 2.0 | 12834 | 4.8399 | 0.2250 |
| 4.7128 | 3.0 | 19251 | 4.6418 | 0.2408 |
| 4.5849 | 4.0 | 25668 | 4.5399 | 0.2498 |
| 4.485 | 5.0 | 32085 | 4.4786 | 0.2551 |
| 4.4117 | 6.0 | 38502 | 4.4334 | 0.2588 |
| 4.3507 | 7.0 | 44919 | 4.4014 | 0.2623 |
| 4.2955 | 8.0 | 51336 | 4.3777 | 0.2646 |
| 4.2474 | 9.0 | 57753 | 4.3611 | 0.2660 |
| 4.2047 | 10.0 | 64170 | 4.3533 | 0.2671 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3