---
license: apache-2.0
base_model: mHossain/ml_sum_v2
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ml_sum_v3
  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. -->

# ml_sum_v3

This model is a fine-tuned version of [mHossain/ml_sum_v2](https://huggingface.co/mHossain/ml_sum_v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2395
- Rouge1: 13.9684
- Rouge2: 5.8112
- Rougel: 12.261
- Rougelsum: 13.2677
- 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 312  | 2.2395          | 13.955  | 5.7928 | 12.2638 | 13.284    | 19.0    |
| 2.6822        | 2.0   | 625  | 2.2395          | 13.9706 | 5.8212 | 12.2727 | 13.2752   | 19.0    |
| 2.6822        | 3.0   | 937  | 2.2395          | 13.9642 | 5.8154 | 12.2569 | 13.2648   | 19.0    |
| 2.658         | 3.99  | 1248 | 2.2395          | 13.9684 | 5.8112 | 12.261  | 13.2677   | 19.0    |


### Framework versions

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