Gan1108/GPT-2-agriparts

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