---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_trainer
model-index:
- name: dealFindr-finetuned-v3
  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-v3

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: 0.9704

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 8    | 12.2678         |
| No log        | 2.0   | 16   | 11.3441         |
| No log        | 3.0   | 24   | 10.2220         |
| No log        | 4.0   | 32   | 8.6566          |
| No log        | 5.0   | 40   | 6.4217          |
| No log        | 6.0   | 48   | 5.3282          |
| No log        | 7.0   | 56   | 4.8098          |
| No log        | 8.0   | 64   | 4.4019          |
| No log        | 9.0   | 72   | 4.1157          |
| No log        | 10.0  | 80   | 3.8796          |
| No log        | 11.0  | 88   | 3.6642          |
| No log        | 12.0  | 96   | 3.4801          |
| No log        | 13.0  | 104  | 3.3123          |
| No log        | 14.0  | 112  | 3.1491          |
| No log        | 15.0  | 120  | 3.0019          |
| No log        | 16.0  | 128  | 2.8685          |
| No log        | 17.0  | 136  | 2.7340          |
| No log        | 18.0  | 144  | 2.6073          |
| No log        | 19.0  | 152  | 2.4897          |
| No log        | 20.0  | 160  | 2.3747          |
| No log        | 21.0  | 168  | 2.2723          |
| No log        | 22.0  | 176  | 2.1683          |
| No log        | 23.0  | 184  | 2.0714          |
| No log        | 24.0  | 192  | 1.9811          |
| No log        | 25.0  | 200  | 1.8965          |
| No log        | 26.0  | 208  | 1.8128          |
| No log        | 27.0  | 216  | 1.7375          |
| No log        | 28.0  | 224  | 1.6632          |
| No log        | 29.0  | 232  | 1.5932          |
| No log        | 30.0  | 240  | 1.5299          |
| No log        | 31.0  | 248  | 1.4716          |
| No log        | 32.0  | 256  | 1.4156          |
| No log        | 33.0  | 264  | 1.3637          |
| No log        | 34.0  | 272  | 1.3164          |
| No log        | 35.0  | 280  | 1.2711          |
| No log        | 36.0  | 288  | 1.2284          |
| No log        | 37.0  | 296  | 1.1908          |
| No log        | 38.0  | 304  | 1.1568          |
| No log        | 39.0  | 312  | 1.1272          |
| No log        | 40.0  | 320  | 1.0996          |
| No log        | 41.0  | 328  | 1.0742          |
| No log        | 42.0  | 336  | 1.0522          |
| No log        | 43.0  | 344  | 1.0321          |
| No log        | 44.0  | 352  | 1.0150          |
| No log        | 45.0  | 360  | 1.0015          |
| No log        | 46.0  | 368  | 0.9905          |
| No log        | 47.0  | 376  | 0.9820          |
| No log        | 48.0  | 384  | 0.9756          |
| No log        | 49.0  | 392  | 0.9718          |
| No log        | 50.0  | 400  | 0.9704          |


### Framework versions

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