metadata
license: mit
tags:
- generated_from_trainer
base_model: openai-community/gpt2
metrics:
- bleu
model-index:
- name: gpt2-finetuned-mcqa-sciq2-safety
results: []
gpt2-finetuned-mcqa-sciq2-safety
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7824
- Bleu: 0.0816
- Bertscore Precision: 0.4316
- Bertscore Recall: 0.4553
- Bertscore F1: 0.4431
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Bertscore Precision | Bertscore Recall | Bertscore F1 |
|---|---|---|---|---|---|---|---|
| 1.917 | 1.0 | 1460 | 1.8258 | 0.0856 | 0.4279 | 0.4541 | 0.4406 |
| 1.7299 | 2.0 | 2920 | 1.7928 | 0.0789 | 0.4311 | 0.4549 | 0.4427 |
| 1.6342 | 3.0 | 4380 | 1.7870 | 0.0858 | 0.4315 | 0.4542 | 0.4425 |
| 1.5534 | 4.0 | 5840 | 1.7824 | 0.0816 | 0.4316 | 0.4553 | 0.4431 |
| 1.4878 | 5.0 | 7300 | 1.7909 | 0.0797 | 0.4315 | 0.4556 | 0.4432 |
| 1.4554 | 6.0 | 8760 | 1.8021 | 0.0772 | 0.4312 | 0.4557 | 0.4431 |
| 1.3981 | 7.0 | 10220 | 1.8103 | 0.0767 | 0.4314 | 0.4558 | 0.4433 |
| 1.3712 | 8.0 | 11680 | 1.8242 | 0.0427 | 0.4315 | 0.4561 | 0.4434 |
| 1.3431 | 9.0 | 13140 | 1.8338 | 0.0416 | 0.4315 | 0.4560 | 0.4434 |
| 1.3354 | 10.0 | 14600 | 1.8390 | 0.0420 | 0.4315 | 0.4560 | 0.4434 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1