metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GPT2_bigram_function_67
results: []
GPT2_bigram_function_67
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6933
- Accuracy: 0.3575
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: 67
- 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 |
|---|---|---|---|---|
| 4.8987 | 1.0 | 6420 | 4.6828 | 0.2572 |
| 4.2909 | 2.0 | 12840 | 4.1652 | 0.2996 |
| 4.0369 | 3.0 | 19260 | 3.9763 | 0.3198 |
| 3.9112 | 4.0 | 25680 | 3.8777 | 0.3323 |
| 3.8154 | 5.0 | 32100 | 3.8142 | 0.3407 |
| 3.7425 | 6.0 | 38520 | 3.7721 | 0.3456 |
| 3.6848 | 7.0 | 44940 | 3.7400 | 0.3502 |
| 3.6311 | 8.0 | 51360 | 3.7170 | 0.3534 |
| 3.5851 | 9.0 | 57780 | 3.7017 | 0.3564 |
| 3.5457 | 10.0 | 64200 | 3.6933 | 0.3575 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3