---
license: apache-2.0
tags:
- generated_from_trainer
base_model: adamjweintraut/bart-finetuned-lyrlen-512-tokens
model-index:
- name: bart-finetuned-lyrlen-512-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-512-tokens

This model is a fine-tuned version of [adamjweintraut/bart-finetuned-lyrlen-512-tokens](https://huggingface.co/adamjweintraut/bart-finetuned-lyrlen-512-tokens) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9201

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6489        | 0.08  | 500   | 1.9176          |
| 1.5992        | 0.17  | 1000  | 1.9000          |
| 1.6334        | 0.25  | 1500  | 1.9288          |
| 1.5383        | 0.33  | 2000  | 1.9420          |
| 1.5532        | 0.42  | 2500  | 1.9014          |
| 1.5539        | 0.5   | 3000  | 1.9023          |
| 1.5319        | 0.58  | 3500  | 1.8747          |
| 1.5108        | 0.67  | 4000  | 1.9123          |
| 1.5249        | 0.75  | 4500  | 1.8853          |
| 1.497         | 0.83  | 5000  | 1.9822          |
| 1.5314        | 0.92  | 5500  | 1.8954          |
| 1.5292        | 1.0   | 6000  | 1.9192          |
| 1.5169        | 1.08  | 6500  | 1.9198          |
| 1.4837        | 1.17  | 7000  | 1.9046          |
| 1.48          | 1.25  | 7500  | 1.8926          |
| 1.4353        | 1.33  | 8000  | 2.1276          |
| 1.4948        | 1.42  | 8500  | 1.9633          |
| 1.5048        | 1.5   | 9000  | 1.9023          |
| 1.4921        | 1.58  | 9500  | 1.9101          |
| 1.469         | 1.67  | 10000 | 1.9674          |
| 1.4422        | 1.75  | 10500 | 1.9043          |
| 1.461         | 1.83  | 11000 | 1.9131          |
| 1.4299        | 1.92  | 11500 | 1.9426          |
| 1.484         | 2.0   | 12000 | 1.9201          |


### Framework versions

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