---
license: apache-2.0
base_model: mHossain/Albaniani_sum_v1
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ml_sum_v1
  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_v1

This model is a fine-tuned version of [mHossain/Albaniani_sum_v1](https://huggingface.co/mHossain/Albaniani_sum_v1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2080
- Rouge1: 6.9869
- Rouge2: 2.6256
- Rougel: 6.4271
- Rougelsum: 6.8073
- 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 312  | 2.5009          | 5.4872 | 1.8136 | 5.032  | 5.3296    | 18.985  |
| 3.2952        | 2.0   | 624  | 2.2080          | 6.9869 | 2.6256 | 6.4271 | 6.8073    | 19.0    |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2