metadata
license: mit
tags:
- generated_from_trainer
base_model: gpt2
model-index:
- name: ms-32maps_nonalpha-ds
results: []
ms-32maps_nonalpha-ds
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.9255
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.2444 | 0.04 | 100 | 6.1360 |
| 6.1152 | 0.08 | 200 | 6.1151 |
| 6.1139 | 0.13 | 300 | 6.0946 |
| 6.0576 | 0.17 | 400 | 6.0382 |
| 6.0133 | 0.21 | 500 | 6.0101 |
| 6.0049 | 0.25 | 600 | 5.9972 |
| 5.9919 | 0.3 | 700 | 5.9890 |
| 5.9839 | 0.34 | 800 | 5.9841 |
| 5.9875 | 0.38 | 900 | 5.9783 |
| 5.9712 | 0.42 | 1000 | 5.9717 |
| 5.9775 | 0.47 | 1100 | 5.9656 |
| 5.9668 | 0.51 | 1200 | 5.9597 |
| 5.955 | 0.55 | 1300 | 5.9553 |
| 5.9445 | 0.59 | 1400 | 5.9495 |
| 5.95 | 0.64 | 1500 | 5.9439 |
| 5.939 | 0.68 | 1600 | 5.9416 |
| 5.9345 | 0.72 | 1700 | 5.9378 |
| 5.9396 | 0.76 | 1800 | 5.9336 |
| 5.9414 | 0.8 | 1900 | 5.9303 |
| 5.9262 | 0.85 | 2000 | 5.9283 |
| 5.9365 | 0.89 | 2100 | 5.9266 |
| 5.937 | 0.93 | 2200 | 5.9258 |
| 5.9251 | 0.97 | 2300 | 5.9255 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3