sedna-gpt2-lora
This model is a fine-tuned version of HooshvareLab/gpt2-fa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7475
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5666 | 1.0 | 491 | 1.9754 |
| 2.3271 | 2.0 | 982 | 1.7881 |
| 2.2811 | 3.0 | 1473 | 1.7475 |
Framework versions
- PEFT 0.10.0
- Transformers 4.41.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.19.1
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Model tree for SEDNA-AI/sedna-gpt2-lora
Base model
HooshvareLab/gpt2-fa