---
base_model: transformer3/H2-keywordextractor
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: H2-keywordextractor-finetuned-scope-summarization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# H2-keywordextractor-finetuned-scope-summarization

This model is a fine-tuned version of [transformer3/H2-keywordextractor](https://huggingface.co/transformer3/H2-keywordextractor) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0530
- Rouge1: 27.6565
- Rouge2: 24.482
- Rougel: 27.5611
- Rougelsum: 27.679

## 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: 5.6e-05
- train_batch_size: 15
- eval_batch_size: 15
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.1006        | 1.0   | 23   | 0.4121          | 21.1334 | 15.2908 | 21.0076 | 21.0354   |
| 0.4296        | 2.0   | 46   | 0.3515          | 23.1524 | 16.6481 | 23.1602 | 23.1359   |
| 0.366         | 3.0   | 69   | 0.3156          | 24.2342 | 17.9896 | 24.1637 | 24.1872   |
| 0.3263        | 4.0   | 92   | 0.2776          | 25.3692 | 20.5006 | 25.2976 | 25.3696   |
| 0.2951        | 5.0   | 115  | 0.2587          | 25.929  | 21.3159 | 25.7701 | 25.7813   |
| 0.2798        | 6.0   | 138  | 0.2455          | 27.017  | 23.0395 | 26.8045 | 26.8927   |
| 0.2495        | 7.0   | 161  | 0.2234          | 27.5471 | 24.2424 | 27.3809 | 27.4542   |
| 0.2442        | 8.0   | 184  | 0.2100          | 27.1387 | 23.3789 | 27.0447 | 27.141    |
| 0.2203        | 9.0   | 207  | 0.1937          | 27.4281 | 24.1191 | 27.3809 | 27.4542   |
| 0.2138        | 10.0  | 230  | 0.1733          | 27.2385 | 23.6012 | 27.1529 | 27.2287   |
| 0.1921        | 11.0  | 253  | 0.1512          | 27.5491 | 24.2352 | 27.4878 | 27.5915   |
| 0.1687        | 12.0  | 276  | 0.1339          | 27.5491 | 24.2352 | 27.4878 | 27.5915   |
| 0.1615        | 13.0  | 299  | 0.1153          | 27.3214 | 23.9474 | 27.2381 | 27.3508   |
| 0.1367        | 14.0  | 322  | 0.0990          | 27.3214 | 23.8383 | 27.2381 | 27.3508   |
| 0.1282        | 15.0  | 345  | 0.0845          | 27.3214 | 23.8383 | 27.2381 | 27.3508   |
| 0.1085        | 16.0  | 368  | 0.0784          | 27.4178 | 24.1053 | 27.3275 | 27.4506   |
| 0.1018        | 17.0  | 391  | 0.0631          | 27.4471 | 24.1378 | 27.3612 | 27.4531   |
| 0.085         | 18.0  | 414  | 0.0576          | 27.6565 | 24.482  | 27.5611 | 27.679    |
| 0.0814        | 19.0  | 437  | 0.0545          | 27.6565 | 24.482  | 27.5611 | 27.679    |
| 0.0708        | 20.0  | 460  | 0.0530          | 27.6565 | 24.482  | 27.5611 | 27.679    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2