Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use sherif1311/flan-t5-base-classification_int1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sherif1311/flan-t5-base-classification_int1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sherif1311/flan-t5-base-classification_int1") model = AutoModelForSeq2SeqLM.from_pretrained("sherif1311/flan-t5-base-classification_int1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
flan-t5-base-classification_int1
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: 0.0036
- F1: 99.7778
- 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: 1
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 1.12.1+cu116
- Datasets 2.14.4
- Tokenizers 0.12.1
- Downloads last month
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Model tree for sherif1311/flan-t5-base-classification_int1
Base model
google/flan-t5-base