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--- |
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license: mit |
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base_model: ukr-models/xlm-roberta-base-uk |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: robertaForCausalLM |
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results: [] |
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language: |
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- uk |
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widget: |
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- text: "0007347852 - 734785.0 - Підшипник кульковий закритий спеціальний " |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# robertaForCausalLM |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0242 |
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## Model description |
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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 |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3574 | 1.0 | 2495 | 1.1717 | |
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| 1.1399 | 2.0 | 4990 | 1.0587 | |
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| 1.0802 | 3.0 | 7485 | 1.0242 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
