---
license: apache-2.0
tags:
- generated_from_trainer
base_model: adamjweintraut/bart-finetuned-lyrlen-64-lines
model-index:
- name: bart-finetuned-kwsylgen-64-Rerun
  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. -->

# bart-finetuned-kwsylgen-64-Rerun

This model is a fine-tuned version of [adamjweintraut/bart-finetuned-lyrlen-64-lines](https://huggingface.co/adamjweintraut/bart-finetuned-lyrlen-64-lines) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4231

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4862        | 0.18  | 500  | 0.4553          |
| 0.4128        | 0.36  | 1000 | 0.4430          |
| 0.3923        | 0.54  | 1500 | 0.4311          |
| 0.3789        | 0.72  | 2000 | 0.4255          |
| 0.3722        | 0.9   | 2500 | 0.4231          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2