agriparts-4
This model is a fine-tuned version of malteos/gpt2-uk on Gan1108/agriparts dataset. It achieves the following results on the evaluation set:
- Loss: 0.8610
Model description
The model is trained to generate a text description in Ukrainian of spare parts for agricultural machinery based on their name.
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: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1912 | 1.0 | 1340 | 0.9919 |
| 0.9461 | 2.0 | 2680 | 0.8901 |
| 0.8646 | 3.0 | 4020 | 0.8610 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for Gan1108/GPT-2-agriparts
Base model
malteos/gpt2-uk