transformers safetensors bart text2text-generation generated_from_trainer base_model:gayanin/bart-noised-with-all-dist license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: gayanin/bart-noised-with-all-dist
tags:
- generated_from_trainer
model-index:
- name: bart-noised-with-all-dist-2
  results: []
---

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# bart-noised-with-all-dist-2

This model is a fine-tuned version of [gayanin/bart-noised-with-all-dist](https://huggingface.co/gayanin/bart-noised-with-all-dist) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3468

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5985        | 0.74  | 500  | 0.3934          |
| 0.3331        | 1.48  | 1000 | 0.3609          |
| 0.2625        | 2.22  | 1500 | 0.3582          |
| 0.1968        | 2.96  | 2000 | 0.3468          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
