electraForCausalLM
This model is a fine-tuned version of 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
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