---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
model-index:
- name: t5-base-end2end-questions-generation_squad_eli_exp_imp
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-end2end-questions-generation_squad_eli_exp_imp

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2204

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3587        | 0.24  | 100  | 2.2995          |
| 2.1713        | 0.48  | 200  | 2.2715          |
| 2.1506        | 0.72  | 300  | 2.2446          |
| 2.1138        | 0.96  | 400  | 2.2391          |
| 2.0454        | 1.21  | 500  | 2.2350          |
| 2.0286        | 1.45  | 600  | 2.2319          |
| 2.0171        | 1.69  | 700  | 2.2214          |
| 2.0041        | 1.93  | 800  | 2.2205          |
| 1.9694        | 2.17  | 900  | 2.2208          |
| 1.964         | 2.41  | 1000 | 2.2232          |
| 1.9667        | 2.65  | 1100 | 2.2191          |
| 1.9659        | 2.89  | 1200 | 2.2204          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3