---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: redteaming_model_flanT5_classification_5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# redteaming_model_flanT5_classification_5

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2196

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 46   | 15.0414         |
| No log        | 2.0   | 92   | 4.7656          |
| No log        | 3.0   | 138  | 3.8239          |
| No log        | 4.0   | 184  | 2.1320          |
| No log        | 5.0   | 230  | 1.1990          |
| No log        | 6.0   | 276  | 0.6352          |
| No log        | 7.0   | 322  | 0.4020          |
| No log        | 8.0   | 368  | 0.2856          |
| No log        | 9.0   | 414  | 0.2323          |
| No log        | 10.0  | 460  | 0.2196          |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1