---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tathyanka-nlq-depositandlending
  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. -->

# tathyanka-nlq-depositandlending

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0032
- Rouge2 Precision: 0.8509
- Rouge2 Recall: 0.4051
- Rouge2 Fmeasure: 0.5481

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 322  | 0.0514          | 0.8395           | 0.3987        | 0.5399          |
| 0.6454        | 2.0   | 644  | 0.0119          | 0.8461           | 0.4026        | 0.5447          |
| 0.6454        | 3.0   | 966  | 0.0054          | 0.8492           | 0.4043        | 0.5469          |
| 0.0322        | 4.0   | 1288 | 0.0036          | 0.851            | 0.4051        | 0.5481          |
| 0.0155        | 5.0   | 1610 | 0.0032          | 0.8509           | 0.4051        | 0.5481          |


### Framework versions

- Transformers 4.27.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2