|
--- |
|
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 |
|
|
