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---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: finetuned-bartL-samsum
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. -->
# finetuned-bartL-samsum
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: 0.3301
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.0651 | 0.2 | 1000 | 0.5671 |
| 0.4529 | 0.4 | 2000 | 0.4081 |
| 0.4316 | 0.6 | 3000 | 0.3714 |
| 0.4115 | 0.8 | 4000 | 0.3925 |
| 0.3922 | 1.0 | 5000 | 0.3621 |
| 0.3011 | 1.2 | 6000 | 0.3613 |
| 0.3129 | 1.4 | 7000 | 0.3482 |
| 0.2939 | 1.6 | 8000 | 0.3582 |
| 0.2931 | 1.8 | 9000 | 0.3388 |
| 0.2866 | 2.0 | 10000 | 0.3342 |
| 0.2095 | 2.2 | 11000 | 0.3379 |
| 0.2095 | 2.4 | 12000 | 0.3353 |
| 0.2068 | 2.6 | 13000 | 0.3335 |
| 0.2043 | 2.8 | 14000 | 0.3310 |
| 0.1961 | 3.0 | 15000 | 0.3301 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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