metadata
library_name: peft
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: flan-t5-small
results: []
flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2 | 100 | nan |
| No log | 0.4 | 200 | nan |
| No log | 0.6 | 300 | nan |
| No log | 0.8 | 400 | nan |
| 0.0 | 1.0 | 500 | nan |
| 0.0 | 1.2 | 600 | nan |
| 0.0 | 1.4 | 700 | nan |
| 0.0 | 1.6 | 800 | nan |
| 0.0 | 1.8 | 900 | nan |
| 0.0 | 2.0 | 1000 | nan |
| 0.0 | 2.2 | 1100 | nan |
| 0.0 | 2.4 | 1200 | nan |
| 0.0 | 2.6 | 1300 | nan |
| 0.0 | 2.8 | 1400 | nan |
| 0.0 | 3.0 | 1500 | nan |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3