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---
license: apache-2.0
base_model: aparajitha/bart-base-sci
tags:
- generated_from_trainer
model-index:
- name: bart-base-sci-ms-fl
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-base-sci-ms-fl
This model is a fine-tuned version of [aparajitha/bart-base-sci](https://huggingface.co/aparajitha/bart-base-sci) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3036
## 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: 2e-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: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 274 | 2.5338 |
| 3.0007 | 2.0 | 548 | 2.4135 |
| 3.0007 | 3.0 | 822 | 2.3471 |
| 2.4247 | 4.0 | 1096 | 2.3202 |
| 2.4247 | 5.0 | 1370 | 2.3081 |
| 2.2917 | 6.0 | 1644 | 2.3036 |
### Framework versions
- Transformers 4.43.4
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.19.1
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