results_lora_qkv
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3225
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4034 | 1.0 | 1563 | 0.3690 |
| 0.3669 | 2.0 | 3126 | 0.3371 |
| 0.3387 | 3.0 | 4689 | 0.3312 |
| 0.3273 | 4.0 | 6252 | 0.3253 |
| 0.3325 | 5.0 | 7815 | 0.3225 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 4
Model tree for asm3515/bert-IMDB-lora
Base model
google-bert/bert-base-uncased