Transformers
Safetensors
t5
text2text-generation
simplification
Generated from Trainer
text-generation-inference
Instructions to use sanar085/flant5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sanar085/flant5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sanar085/flant5") model = AutoModelForSeq2SeqLM.from_pretrained("sanar085/flant5") - Notebooks
- Google Colab
- Kaggle
flant5
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: 1.1632
- Bleu: 32.6829
- Gen Len: 17.6119
Model description
El modelo FLAN T5 Base es una variante del modelo de lenguaje T5 (Text-To-Text Transfer Transformer) desarrollado por Google. T5 es una arquitectura de modelo de lenguaje basada en transformers que ha demostrado un rendimiento sobresaliente en una amplia gama de tareas de procesamiento de lenguaje natural (NLP).
Intended uses & limitations
En este caso el modelo es un traductor automático que simplifica el francés.
Training and evaluation data
Se utilizan 266 filas de la tabla como entrenamiento y 67 como test.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5.6e-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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 67 | 1.1644 | 32.6829 | 17.6119 |
| No log | 2.0 | 134 | 1.1632 | 32.6829 | 17.6119 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for sanar085/flant5
Base model
google/flan-t5-base