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---
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
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