robertaForCausalLM

This model is a fine-tuned version of ukr-models/xlm-roberta-base-uk on the Gan1108/agriparts dataset. It achieves the following results on the evaluation set:

• Loss: 1.0242

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

Training results

Training Loss	Epoch	Step	Validation Loss
1.3574	1.0	2495	1.1717
1.1399	2.0	4990	1.0587
1.0802	3.0	7485	1.0242

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.2+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1