---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: pubmed-abs-noise-01
  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. -->

# pubmed-abs-noise-01

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2094

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3418        | 0.11  | 500   | 0.3102          |
| 0.3315        | 0.21  | 1000  | 0.2811          |
| 0.3479        | 0.32  | 1500  | 0.2585          |
| 0.308         | 0.43  | 2000  | 0.2609          |
| 0.2716        | 0.54  | 2500  | 0.2549          |
| 0.2845        | 0.64  | 3000  | 0.2442          |
| 0.2781        | 0.75  | 3500  | 0.2379          |
| 0.2893        | 0.86  | 4000  | 0.2314          |
| 0.2581        | 0.96  | 4500  | 0.2297          |
| 0.2269        | 1.07  | 5000  | 0.2334          |
| 0.2274        | 1.18  | 5500  | 0.2272          |
| 0.2053        | 1.28  | 6000  | 0.2305          |
| 0.2062        | 1.39  | 6500  | 0.2246          |
| 0.241         | 1.5   | 7000  | 0.2215          |
| 0.1625        | 1.61  | 7500  | 0.2239          |
| 0.2179        | 1.71  | 8000  | 0.2181          |
| 0.2372        | 1.82  | 8500  | 0.2187          |
| 0.2116        | 1.93  | 9000  | 0.2115          |
| 0.1625        | 2.03  | 9500  | 0.2168          |
| 0.187         | 2.14  | 10000 | 0.2170          |
| 0.159         | 2.25  | 10500 | 0.2163          |
| 0.1741        | 2.35  | 11000 | 0.2144          |
| 0.1964        | 2.46  | 11500 | 0.2111          |
| 0.1679        | 2.57  | 12000 | 0.2117          |
| 0.1662        | 2.68  | 12500 | 0.2096          |
| 0.1436        | 2.78  | 13000 | 0.2107          |
| 0.1875        | 2.89  | 13500 | 0.2099          |
| 0.1656        | 3.0   | 14000 | 0.2094          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.7
- Tokenizers 0.14.1