| | --- |
| | license: mit |
| | base_model: lang-uk/electra-base-ukrainian-cased-generator |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: electraForCausalLM |
| | results: [] |
| | language: |
| | - uk |
| | widget: |
| | - text: "0007347852 - 734785.0 - Підшипник кульковий закритий спеціальний " |
| | --- |
| | |
| | # electraForCausalLM |
| |
|
| | This model is a fine-tuned version of [lang-uk/electra-base-ukrainian-cased-generator](https://huggingface.co/lang-uk/electra-base-ukrainian-cased-generator) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3302 |
| |
|
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.7321 | 1.0 | 2354 | 1.5172 | |
| | | 1.4763 | 2.0 | 4708 | 1.3670 | |
| | | 1.4006 | 3.0 | 7062 | 1.3302 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |