---
license: apache-2.0
tags:
- generated_from_trainer
base_model: facebook/bart-large
model-index:
- name: bart-finetuned-lyrlen-256-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-256-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: 2.6246

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.9847        | 0.17  | 500   | 2.7417          |
| 2.7603        | 0.33  | 1000  | 2.6936          |
| 2.6777        | 0.5   | 1500  | 2.7032          |
| 2.6679        | 0.67  | 2000  | 2.6790          |
| 2.631         | 0.83  | 2500  | 2.6584          |
| 2.612         | 1.0   | 3000  | 2.6528          |
| 2.5602        | 1.17  | 3500  | 2.7752          |
| 2.5321        | 1.33  | 4000  | 2.6442          |
| 2.523         | 1.5   | 4500  | 2.6168          |
| 2.5031        | 1.67  | 5000  | 2.6356          |
| 2.4454        | 1.83  | 5500  | 2.6987          |
| 2.5141        | 2.0   | 6000  | 2.6277          |
| 2.434         | 2.17  | 6500  | 2.6612          |
| 2.4381        | 2.33  | 7000  | 2.6339          |
| 2.4182        | 2.5   | 7500  | 2.6291          |
| 2.3564        | 2.67  | 8000  | 2.6309          |
| 2.4002        | 2.83  | 8500  | 2.5957          |
| 2.3692        | 3.0   | 9000  | 2.6150          |
| 2.4242        | 3.17  | 9500  | 2.5908          |
| 2.3854        | 3.33  | 10000 | 2.6053          |
| 2.3493        | 3.5   | 10500 | 2.6875          |
| 2.3231        | 3.67  | 11000 | 2.6197          |
| 2.3609        | 3.83  | 11500 | 2.6016          |
| 2.3651        | 4.0   | 12000 | 2.6246          |


### Framework versions

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