---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
model-index:
- name: T5_mrqa_fast_learner
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/sl2dck2w)
# T5_mrqa_fast_learner

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8387

## 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9917        | 1.0   | 500  | 0.7513          |
| 0.7799        | 2.0   | 1000 | 0.7524          |
| 0.6705        | 3.0   | 1500 | 0.7539          |
| 0.5894        | 4.0   | 2000 | 0.7659          |
| 0.5239        | 5.0   | 2500 | 0.7906          |
| 0.4808        | 6.0   | 3000 | 0.8057          |
| 0.4391        | 7.0   | 3500 | 0.8203          |
| 0.4156        | 8.0   | 4000 | 0.8283          |
| 0.3974        | 9.0   | 4500 | 0.8387          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1