---
license: apache-2.0
tags:
- generated_from_trainer
base_model: t5-large
model-index:
- name: t5-large-qdmr-grounded-with-db
  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. -->

# t5-large-qdmr-grounded-with-db

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1100

## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 20000

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2122        | 0.2312 | 500  | 0.1902          |
| 0.1786        | 0.4624 | 1000 | 0.1430          |
| 0.146         | 0.6936 | 1500 | 0.1148          |
| 0.1223        | 0.9249 | 2000 | 0.1092          |
| 0.0976        | 1.1561 | 2500 | 0.1100          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1