---
license: apache-2.0
base_model: linydub/bart-large-samsum
tags:
- generated_from_trainer
model-index:
- name: 20231205_Bart-lg-samsum_TBD_Summ_Tr01
  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. -->

# 20231205_Bart-lg-samsum_TBD_Summ_Tr01

This model is a fine-tuned version of [linydub/bart-large-samsum](https://huggingface.co/linydub/bart-large-samsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0913

## 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: 1e-05
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 401  | 2.8537          |
| 5.39          | 2.0   | 802  | 0.8892          |
| 0.8114        | 3.0   | 1203 | 0.8283          |
| 0.5189        | 4.0   | 1604 | 0.8503          |
| 0.3804        | 5.0   | 2005 | 0.9076          |
| 0.3804        | 6.0   | 2406 | 0.9787          |
| 0.2618        | 7.0   | 2807 | 1.0719          |
| 0.2015        | 8.0   | 3208 | 1.0913          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1