metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/flan-t5-small
metrics:
- accuracy
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: 0.8392
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9752 | 1.0 | 643 | 1.2361 |
| 1.2624 | 2.0 | 1286 | 0.9406 |
| 1.0128 | 3.0 | 1929 | 0.8740 |
| 0.7817 | 4.0 | 2572 | 0.8413 |
| 0.7428 | 5.0 | 3215 | 0.8392 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2