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bart-finetuned-loaf-512-lyrictoplan
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---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart-finetuned-loaf-512-lyrictoplan
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-loaf-512-lyrictoplan
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: 0.8160
## 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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4176 | 0.45 | 500 | 1.1073 |
| 1.1228 | 0.89 | 1000 | 0.9915 |
| 0.9568 | 1.34 | 1500 | 0.9347 |
| 0.888 | 1.78 | 2000 | 0.8795 |
| 0.8179 | 2.23 | 2500 | 0.8774 |
| 0.7929 | 2.67 | 3000 | 0.8551 |
| 0.7256 | 3.12 | 3500 | 0.8213 |
| 0.6979 | 3.56 | 4000 | 0.8160 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2