transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-finetuned-sample_data_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# flan-t5-base-finetuned-sample_data_model

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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                                                                                                                                                                                                                                                                                                                                                                                                                                                            | Gen Len |
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| No log        | 1.0   | 7    | 2.6175          | [0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 0.789040207862854, 0.90263831615448, 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| 2503.0  |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
