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
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Model tree for Gan1108/robertaForCausalLM
Base model
ukr-models/xlm-roberta-base-uk