---
license: apache-2.0
base_model: Falconsai/text_summarization
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: text_summarization-finetuned-stocknews_1900_100
  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. -->

# text_summarization-finetuned-stocknews_1900_100

This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6704
- Rouge1: 14.8468
- Rouge2: 6.605
- Rougel: 12.5912
- Rougelsum: 13.8844
- Gen Len: 19.0

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 102  | 2.0572          | 14.815  | 5.9056 | 12.0659 | 13.6223   | 19.0    |
| No log        | 2.0   | 204  | 1.9284          | 14.8263 | 6.0075 | 12.0672 | 13.5783   | 19.0    |
| No log        | 3.0   | 306  | 1.8635          | 14.7132 | 6.2969 | 12.1804 | 13.7033   | 19.0    |
| No log        | 4.0   | 408  | 1.8187          | 14.5759 | 6.3479 | 12.2351 | 13.5408   | 19.0    |
| 2.2351        | 5.0   | 510  | 1.7896          | 14.6503 | 6.4258 | 12.2892 | 13.6634   | 19.0    |
| 2.2351        | 6.0   | 612  | 1.7742          | 14.5794 | 6.3181 | 12.2248 | 13.5458   | 19.0    |
| 2.2351        | 7.0   | 714  | 1.7523          | 14.5132 | 6.3226 | 12.2905 | 13.4683   | 19.0    |
| 2.2351        | 8.0   | 816  | 1.7409          | 14.4054 | 6.301  | 12.1657 | 13.3541   | 19.0    |
| 2.2351        | 9.0   | 918  | 1.7266          | 14.523  | 6.4309 | 12.2507 | 13.4937   | 19.0    |
| 1.9331        | 10.0  | 1020 | 1.7176          | 14.6255 | 6.5518 | 12.2987 | 13.5785   | 19.0    |
| 1.9331        | 11.0  | 1122 | 1.7080          | 14.7579 | 6.5473 | 12.3413 | 13.7116   | 19.0    |
| 1.9331        | 12.0  | 1224 | 1.7026          | 14.744  | 6.6321 | 12.3666 | 13.7439   | 19.0    |
| 1.9331        | 13.0  | 1326 | 1.6952          | 14.9263 | 6.7745 | 12.5911 | 13.9137   | 19.0    |
| 1.9331        | 14.0  | 1428 | 1.6924          | 14.9758 | 6.8123 | 12.6647 | 14.0481   | 19.0    |
| 1.8412        | 15.0  | 1530 | 1.6874          | 14.9901 | 6.7148 | 12.57   | 14.0264   | 19.0    |
| 1.8412        | 16.0  | 1632 | 1.6838          | 14.9599 | 6.7418 | 12.55   | 14.0427   | 19.0    |
| 1.8412        | 17.0  | 1734 | 1.6807          | 14.9124 | 6.7273 | 12.5752 | 13.9551   | 19.0    |
| 1.8412        | 18.0  | 1836 | 1.6779          | 14.8536 | 6.7331 | 12.5783 | 13.9188   | 19.0    |
| 1.8412        | 19.0  | 1938 | 1.6744          | 14.9394 | 6.7234 | 12.6105 | 13.9947   | 19.0    |
| 1.7905        | 20.0  | 2040 | 1.6736          | 14.9112 | 6.6709 | 12.603  | 13.9438   | 19.0    |
| 1.7905        | 21.0  | 2142 | 1.6724          | 14.9004 | 6.6578 | 12.6049 | 13.9428   | 19.0    |
| 1.7905        | 22.0  | 2244 | 1.6724          | 14.7264 | 6.5678 | 12.5109 | 13.8099   | 19.0    |
| 1.7905        | 23.0  | 2346 | 1.6713          | 14.7045 | 6.5554 | 12.4921 | 13.799    | 19.0    |
| 1.7905        | 24.0  | 2448 | 1.6708          | 14.7174 | 6.5556 | 12.4934 | 13.8      | 19.0    |
| 1.7682        | 25.0  | 2550 | 1.6704          | 14.8468 | 6.605  | 12.5912 | 13.8844   | 19.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2