pytorch tensorboard pegasus text2text-generation transformers generated_from_trainer model-index autotrain_compatible
---
tags:
- generated_from_trainer
model-index:
- name: 3rd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 3rd

This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8129

## 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: 0.0015
- train_batch_size: 1
- eval_batch_size: 1
- 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.1114        | 0.18  | 1500  | 3.0346          |
| 3.0808        | 0.36  | 3000  | 2.9687          |
| 2.9443        | 0.54  | 4500  | 2.9548          |
| 2.9606        | 0.72  | 6000  | 2.8818          |
| 2.9475        | 0.9   | 7500  | 2.8668          |
| 2.4882        | 1.08  | 9000  | 2.8979          |
| 2.5669        | 1.26  | 10500 | 2.8673          |
| 2.5047        | 1.44  | 12000 | 2.8176          |
| 2.5524        | 1.62  | 13500 | 2.8458          |
| 2.5275        | 1.8   | 15000 | 2.7372          |
| 2.4982        | 1.98  | 16500 | 2.7297          |
| 1.9936        | 2.16  | 18000 | 2.7922          |
| 2.0063        | 2.34  | 19500 | 2.7160          |
| 1.9143        | 2.52  | 21000 | 2.7135          |
| 1.9644        | 2.7   | 22500 | 2.6860          |
| 1.9235        | 2.88  | 24000 | 2.6462          |
| 1.381         | 3.06  | 25500 | 2.8203          |
| 1.3569        | 3.24  | 27000 | 2.8321          |
| 1.4043        | 3.42  | 28500 | 2.8262          |
| 1.365         | 3.6   | 30000 | 2.8376          |
| 1.3719        | 3.78  | 31500 | 2.8236          |
| 1.3408        | 3.96  | 33000 | 2.8129          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Tokenizers 0.12.1
