| --- |
| license: mit |
| base_model: ukr-models/xlm-roberta-base-uk |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: robertaForCausalLM |
| results: [] |
| language: |
| - uk |
| widget: |
| - text: "0007347852 - 734785.0 - Підшипник кульковий закритий спеціальний " |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # robertaForCausalLM |
|
|
| This model is a fine-tuned version of [ukr-models/xlm-roberta-base-uk](https://huggingface.co/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. |
|
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|
|
| ## 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 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.37.2 |
| - Pytorch 2.1.2+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
