Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use sherif1311/tobacco-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sherif1311/tobacco-intent with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sherif1311/tobacco-intent") model = AutoModelForMultimodalLM.from_pretrained("sherif1311/tobacco-intent") - Notebooks
- Google Colab
- Kaggle
tobacco-intent
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- F1: 100.0
- Gen Len: 2.3333
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: 0.0003
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Gen Len |
|---|---|---|---|---|---|
| 0.0089 | 1.0 | 675 | 0.0000 | 100.0 | 2.3333 |
| 0.0037 | 2.0 | 1350 | 0.0000 | 100.0 | 2.3333 |
| 0.0094 | 3.0 | 2025 | 0.0000 | 100.0 | 2.3333 |
| 0.0005 | 4.0 | 2700 | 0.0000 | 100.0 | 2.3333 |
| 0.0 | 5.0 | 3375 | 0.0000 | 100.0 | 2.3333 |
| 0.0 | 6.0 | 4050 | 0.0000 | 100.0 | 2.3333 |
| 0.0001 | 7.0 | 4725 | 0.0000 | 100.0 | 2.3333 |
| 0.0 | 8.0 | 5400 | 0.0000 | 100.0 | 2.3333 |
| 0.0 | 9.0 | 6075 | 0.0000 | 100.0 | 2.3333 |
| 0.0 | 10.0 | 6750 | 0.0000 | 100.0 | 2.3333 |
Framework versions
- Transformers 4.42.4
- Pytorch 1.12.1+cu116
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
google/flan-t5-base