---
license: mit
base_model: valhalla/t5-small-e2e-qg
tags:
- generated_from_trainer
model-index:
- name: finetuned-baseline
  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. -->

# finetuned-baseline

This model is a fine-tuned version t5 Model on SQuAD and r/depression_help Data.
It achieves the following results on the evaluation set:
- Loss: 3.4731

## 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: 16
- total_train_batch_size: 64
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9133        | 2.87  | 100  | 3.5685          |
| 3.7034        | 5.75  | 200  | 3.4987          |
| 3.6402        | 8.62  | 300  | 3.4731          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3