---
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: 1.2667

## 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: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 6    | 13.4493         |
| No log        | 2.0   | 12   | 12.2565         |
| No log        | 3.0   | 18   | 11.4010         |
| No log        | 4.0   | 24   | 10.2832         |
| No log        | 5.0   | 30   | 8.8511          |
| No log        | 6.0   | 36   | 7.0976          |
| No log        | 7.0   | 42   | 5.9832          |
| No log        | 8.0   | 48   | 5.2993          |
| No log        | 9.0   | 54   | 4.9107          |
| No log        | 10.0  | 60   | 4.5861          |
| No log        | 11.0  | 66   | 4.3329          |
| No log        | 12.0  | 72   | 4.1270          |
| No log        | 13.0  | 78   | 3.9392          |
| No log        | 14.0  | 84   | 3.7658          |
| No log        | 15.0  | 90   | 3.6182          |
| No log        | 16.0  | 96   | 3.4915          |
| No log        | 17.0  | 102  | 3.3719          |
| No log        | 18.0  | 108  | 3.2467          |
| No log        | 19.0  | 114  | 3.1374          |
| No log        | 20.0  | 120  | 3.0331          |
| No log        | 21.0  | 126  | 2.9368          |
| No log        | 22.0  | 132  | 2.8411          |
| No log        | 23.0  | 138  | 2.7430          |
| No log        | 24.0  | 144  | 2.6521          |
| No log        | 25.0  | 150  | 2.5733          |
| No log        | 26.0  | 156  | 2.4918          |
| No log        | 27.0  | 162  | 2.4123          |
| No log        | 28.0  | 168  | 2.3377          |
| No log        | 29.0  | 174  | 2.2648          |
| No log        | 30.0  | 180  | 2.1950          |
| No log        | 31.0  | 186  | 2.1286          |
| No log        | 32.0  | 192  | 2.0646          |
| No log        | 33.0  | 198  | 2.0045          |
| No log        | 34.0  | 204  | 1.9476          |
| No log        | 35.0  | 210  | 1.8927          |
| No log        | 36.0  | 216  | 1.8419          |
| No log        | 37.0  | 222  | 1.7924          |
| No log        | 38.0  | 228  | 1.7420          |
| No log        | 39.0  | 234  | 1.6980          |
| No log        | 40.0  | 240  | 1.6592          |
| No log        | 41.0  | 246  | 1.6197          |
| No log        | 42.0  | 252  | 1.5805          |
| No log        | 43.0  | 258  | 1.5428          |
| No log        | 44.0  | 264  | 1.5082          |
| No log        | 45.0  | 270  | 1.4784          |
| No log        | 46.0  | 276  | 1.4517          |
| No log        | 47.0  | 282  | 1.4265          |
| No log        | 48.0  | 288  | 1.4019          |
| No log        | 49.0  | 294  | 1.3798          |
| No log        | 50.0  | 300  | 1.3596          |
| No log        | 51.0  | 306  | 1.3419          |
| No log        | 52.0  | 312  | 1.3262          |
| No log        | 53.0  | 318  | 1.3122          |
| No log        | 54.0  | 324  | 1.3003          |
| No log        | 55.0  | 330  | 1.2902          |
| No log        | 56.0  | 336  | 1.2821          |
| No log        | 57.0  | 342  | 1.2757          |
| No log        | 58.0  | 348  | 1.2709          |
| No log        | 59.0  | 354  | 1.2678          |
| No log        | 60.0  | 360  | 1.2667          |


### Framework versions

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