metadata
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
model-index:
- name: flan-t5-large-prompt-tuning-cpgQA
results: []
flan-t5-large-prompt-tuning-cpgQA
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1363
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.192 | 1.0 | 430 | 0.1363 |
| 0.2402 | 2.0 | 860 | 0.1363 |
| 0.2249 | 3.0 | 1290 | 0.1363 |
| 0.2243 | 4.0 | 1720 | 0.1363 |
| 0.2243 | 5.0 | 2150 | 0.1363 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3