metadata
license: mit
base_model: vicgalle/gpt2-open-instruct-v1
tags:
- generated_from_trainer
datasets:
- gsm8k
model-index:
- name: gpt2-open-instruct-v1-gsm8k
results: []
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: 2.4454
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: 6
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6943 | 1.0 | 1246 | 2.5155 |
| 2.62 | 2.0 | 2492 | 2.4769 |
| 2.5851 | 3.0 | 3738 | 2.4575 |
| 2.5692 | 4.0 | 4984 | 2.4492 |
| 2.5485 | 5.0 | 6230 | 2.4454 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3