---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: dealFindr-finetuned-v2
  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. -->

# dealFindr-finetuned-v2

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5538

## 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: 1e-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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 13.3407         |
| No log        | 2.0   | 12   | 12.2340         |
| No log        | 3.0   | 18   | 11.3766         |
| No log        | 4.0   | 24   | 10.2878         |
| No log        | 5.0   | 30   | 8.9169          |
| No log        | 6.0   | 36   | 7.2212          |
| No log        | 7.0   | 42   | 6.0935          |
| No log        | 8.0   | 48   | 5.4063          |
| No log        | 9.0   | 54   | 5.0208          |
| No log        | 10.0  | 60   | 4.7110          |
| No log        | 11.0  | 66   | 4.4599          |
| No log        | 12.0  | 72   | 4.2590          |
| No log        | 13.0  | 78   | 4.0866          |
| No log        | 14.0  | 84   | 3.9301          |
| No log        | 15.0  | 90   | 3.7943          |
| No log        | 16.0  | 96   | 3.6821          |
| No log        | 17.0  | 102  | 3.5801          |
| No log        | 18.0  | 108  | 3.4734          |
| No log        | 19.0  | 114  | 3.3823          |
| No log        | 20.0  | 120  | 3.2995          |
| No log        | 21.0  | 126  | 3.2260          |
| No log        | 22.0  | 132  | 3.1548          |
| No log        | 23.0  | 138  | 3.0821          |
| No log        | 24.0  | 144  | 3.0141          |
| No log        | 25.0  | 150  | 2.9590          |
| No log        | 26.0  | 156  | 2.9073          |
| No log        | 27.0  | 162  | 2.8577          |
| No log        | 28.0  | 168  | 2.8124          |
| No log        | 29.0  | 174  | 2.7693          |
| No log        | 30.0  | 180  | 2.7302          |
| No log        | 31.0  | 186  | 2.6954          |
| No log        | 32.0  | 192  | 2.6647          |
| No log        | 33.0  | 198  | 2.6384          |
| No log        | 34.0  | 204  | 2.6157          |
| No log        | 35.0  | 210  | 2.5965          |
| No log        | 36.0  | 216  | 2.5817          |
| No log        | 37.0  | 222  | 2.5702          |
| No log        | 38.0  | 228  | 2.5611          |
| No log        | 39.0  | 234  | 2.5557          |
| No log        | 40.0  | 240  | 2.5538          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3