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
- Downloads last month
- 9
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.
Model tree for Gan1108/GPT-2-agriparts
Base model
malteos/gpt2-uk
Finetuned
this model