metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: task_extractor
results: []
task_extractor
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0352
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 10
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0818 | 0.01 | 1 | 0.0594 |
0.0621 | 0.01 | 2 | 0.0537 |
0.0616 | 0.02 | 3 | 0.0490 |
0.0639 | 0.02 | 4 | 0.0451 |
0.0571 | 0.03 | 5 | 0.0419 |
0.0617 | 0.04 | 6 | 0.0395 |
0.06 | 0.04 | 7 | 0.0377 |
0.0523 | 0.05 | 8 | 0.0364 |
0.0486 | 0.05 | 9 | 0.0356 |
0.0534 | 0.06 | 10 | 0.0352 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0