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gpt2-open-instruct-v1-gsm8k
This model is a fine-tuned version of vicgalle/gpt2-open-instruct-v1 on the gsm8k dataset. It achieves the following results on the evaluation set:
- Loss: 2.3966
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: 16
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 468 | 2.5579 |
| 2.859 | 2.0 | 936 | 2.5018 |
| 2.6455 | 3.0 | 1404 | 2.4752 |
| 2.6025 | 4.0 | 1872 | 2.4590 |
| 2.5777 | 5.0 | 2340 | 2.4473 |
| 2.5557 | 6.0 | 2808 | 2.4388 |
| 2.538 | 7.0 | 3276 | 2.4309 |
| 2.5246 | 8.0 | 3744 | 2.4236 |
| 2.514 | 9.0 | 4212 | 2.4186 |
| 2.5059 | 10.0 | 4680 | 2.4159 |
| 2.4944 | 11.0 | 5148 | 2.4107 |
| 2.4874 | 12.0 | 5616 | 2.4078 |
| 2.4862 | 13.0 | 6084 | 2.4053 |
| 2.475 | 14.0 | 6552 | 2.4027 |
| 2.4716 | 15.0 | 7020 | 2.4008 |
| 2.4716 | 16.0 | 7488 | 2.3995 |
| 2.4704 | 17.0 | 7956 | 2.3985 |
| 2.4648 | 18.0 | 8424 | 2.3973 |
| 2.4634 | 19.0 | 8892 | 2.3968 |
| 2.459 | 20.0 | 9360 | 2.3966 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
