---
license: apache-2.0
base_model: eugenesiow/bart-paraphrase
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [eugenesiow/bart-paraphrase](https://huggingface.co/eugenesiow/bart-paraphrase) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1435

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 5.2622        | 0.9968 | 154  | 4.8920          |
| 4.4409        | 2.0    | 309  | 3.8232          |
| 3.8001        | 2.9968 | 463  | 3.3055          |
| 3.4922        | 4.0    | 618  | 2.9036          |
| 3.2041        | 4.9968 | 772  | 2.6903          |
| 3.0911        | 6.0    | 927  | 2.4548          |
| 2.7878        | 6.9968 | 1081 | 2.4292          |
| 2.7969        | 8.0    | 1236 | 2.2862          |
| 2.5457        | 8.9968 | 1390 | 2.1846          |
| 2.6063        | 9.9676 | 1540 | 2.2019          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1