metadata
library_name: peft
license: apache-2.0
base_model: google-t5/t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-gen-retrieval-lora
results: []
flan-t5-gen-retrieval-lora
This model is a fine-tuned version of google-t5/t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8377
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0087 | 0.0491 | 405 | 1.2918 |
| 1.0558 | 0.0497 | 410 | 1.2060 |
| 1.0558 | 0.0503 | 415 | 1.1487 |
| 0.8712 | 0.0509 | 420 | 1.1032 |
| 0.8712 | 0.0515 | 425 | 1.0525 |
| 0.7341 | 0.0521 | 430 | 1.0037 |
| 0.7341 | 0.0527 | 435 | 0.9570 |
| 0.7253 | 0.0533 | 440 | 0.9061 |
| 0.7253 | 0.0539 | 445 | 0.8771 |
| 0.6724 | 0.0545 | 450 | 0.8519 |
| 0.6724 | 0.0552 | 455 | 0.8448 |
| 0.6172 | 0.0558 | 460 | 0.8431 |
| 0.6172 | 0.0564 | 465 | 0.8414 |
| 0.6013 | 0.0570 | 470 | 0.8399 |
| 0.6013 | 0.0576 | 475 | 0.8391 |
| 0.5868 | 0.0582 | 480 | 0.8385 |
| 0.5868 | 0.0588 | 485 | 0.8383 |
| 0.6088 | 0.0594 | 490 | 0.8380 |
| 0.6088 | 0.06 | 495 | 0.8378 |
| 0.6092 | 0.0606 | 500 | 0.8377 |
Framework versions
- PEFT 0.14.0
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1