---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: tathyanka-nlq-depositnlending
  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-depositnlending

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: 0.0036
- Rouge2 Precision: 0.8506
- Rouge2 Recall: 0.4055
- Rouge2 Fmeasure: 0.5484

## 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   | 332  | 0.0547          | 0.8333           | 0.3957        | 0.5359          |
| 0.6775        | 2.0   | 664  | 0.0132          | 0.8468           | 0.4034        | 0.5456          |
| 0.6775        | 3.0   | 996  | 0.0058          | 0.849            | 0.4047        | 0.5473          |
| 0.0357        | 4.0   | 1328 | 0.0041          | 0.8506           | 0.4055        | 0.5484          |
| 0.0171        | 5.0   | 1660 | 0.0036          | 0.8506           | 0.4055        | 0.5484          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3