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robertaForCausalLM
Gan1108/robertaForCausalLM
robertaForCausalLM is a text generation model from Gan1108. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 17, 2024
- Updated
- Mar 27, 2024
- SHA
- 1b30f1d2
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Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Task
- Text Generation
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- uk
- Created
- Mar 17, 2024
- Updated
- Mar 27, 2024