metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: t5-base
model-index:
- name: T5-PEFT-3
results: []
T5-PEFT-3
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1705
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: 0.0002
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.18 | 250 | 1.3105 |
| 1.7303 | 0.35 | 500 | 1.2574 |
| 1.7303 | 0.53 | 750 | 1.2259 |
| 1.3176 | 0.71 | 1000 | 1.2101 |
| 1.3176 | 0.89 | 1250 | 1.2009 |
| 1.2971 | 1.06 | 1500 | 1.1895 |
| 1.2971 | 1.24 | 1750 | 1.1828 |
| 1.2582 | 1.42 | 2000 | 1.1804 |
| 1.2582 | 1.6 | 2250 | 1.1763 |
| 1.2579 | 1.77 | 2500 | 1.1730 |
| 1.2579 | 1.95 | 2750 | 1.1705 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2