MLMA_Lab_8_GPT_model_Task5
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1759
- Precision: 0.5233
- Recall: 0.6157
- F1: 0.5657
- Accuracy: 0.9544
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
No log | 1.0 | 474 | 0.1577 | 0.4240 | 0.6032 | 0.4979 | 0.9447 |
0.0431 | 2.0 | 948 | 0.1545 | 0.4980 | 0.6269 | 0.5551 | 0.9534 |
0.0653 | 3.0 | 1422 | 0.1759 | 0.5233 | 0.6157 | 0.5657 | 0.9544 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.0
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 2
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.