---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-finetuned-lyrlen-128-tokens
  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-lyrlen-128-tokens

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9008

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2981        | 0.33  | 500  | 3.0587          |
| 3.0335        | 0.67  | 1000 | 2.9762          |
| 2.9525        | 1.0   | 1500 | 2.9432          |
| 2.9021        | 1.33  | 2000 | 2.9562          |
| 2.8671        | 1.67  | 2500 | 2.9502          |
| 2.8037        | 2.0   | 3000 | 2.9134          |
| 2.7389        | 2.33  | 3500 | 2.9058          |
| 2.7305        | 2.67  | 4000 | 2.9016          |
| 2.7196        | 3.0   | 4500 | 2.8960          |
| 2.7217        | 3.33  | 5000 | 2.9097          |
| 2.6659        | 3.67  | 5500 | 2.9045          |
| 2.6616        | 4.0   | 6000 | 2.9008          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2