---
library_name: transformers
license: mit
base_model: SumanNazir/highlight_summary_model_trained_on_reduced_data
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: highlight_summary_model_trained_on_reduced_data
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# highlight_summary_model_trained_on_reduced_data

This model is a fine-tuned version of [SumanNazir/highlight_summary_model_trained_on_reduced_data](https://huggingface.co./SumanNazir/highlight_summary_model_trained_on_reduced_data) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7393
- Rouge1: 0.4167
- Rouge2: 0.1684
- Rougel: 0.3095
- Rougelsum: 0.3088
- Generated Length: 38.5758

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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Generated Length |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------------:|
| No log        | 1.0   | 263  | 4.6745          | 0.4127 | 0.1629 | 0.3115 | 0.3119    | 38.0909          |
| 0.0309        | 2.0   | 526  | 4.7393          | 0.4167 | 0.1684 | 0.3095 | 0.3088    | 38.5758          |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0