gpt_icesum
This model is a fine-tuned version of AI-Sweden-Models/gpt-sw3-1.3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7960
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9148 | 0.22 | 50 | 1.8159 |
| 1.9237 | 0.44 | 100 | 1.8051 |
| 1.8317 | 0.67 | 150 | 1.8006 |
| 2.0264 | 0.89 | 200 | 1.7985 |
| 1.81 | 1.11 | 250 | 1.7961 |
| 1.9393 | 1.33 | 300 | 1.7951 |
| 1.8159 | 1.56 | 350 | 1.7934 |
| 1.8204 | 1.78 | 400 | 1.7959 |
| 1.9231 | 2.0 | 450 | 1.7960 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.0+cu118
- Datasets 2.17.1
- Tokenizers 0.15.2
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Base model
AI-Sweden-Models/gpt-sw3-1.3b