---
tags:
- generated_from_trainer
model-index:
- name: iab_classification-finetuned-mnli-finetuned-mnli
  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. -->

# iab_classification-finetuned-mnli-finetuned-mnli

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5436

## 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: 2
- eval_batch_size: 2
- 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   | 15   | 5.0579          |
| No log        | 2.0   | 30   | 2.5431          |
| No log        | 3.0   | 45   | 3.2248          |
| No log        | 4.0   | 60   | 3.9195          |
| No log        | 5.0   | 75   | 4.2920          |
| No log        | 6.0   | 90   | 4.4568          |
| No log        | 7.0   | 105  | 4.5005          |
| No log        | 8.0   | 120  | 4.8739          |
| No log        | 9.0   | 135  | 4.4574          |
| No log        | 10.0  | 150  | 4.5635          |
| No log        | 11.0  | 165  | 4.3998          |
| No log        | 12.0  | 180  | 4.3195          |
| No log        | 13.0  | 195  | 3.8431          |
| No log        | 14.0  | 210  | 4.2134          |
| No log        | 15.0  | 225  | 4.2773          |
| No log        | 16.0  | 240  | 4.0859          |
| No log        | 17.0  | 255  | 3.7728          |
| No log        | 18.0  | 270  | 3.6935          |
| No log        | 19.0  | 285  | 4.0160          |
| No log        | 20.0  | 300  | 4.3259          |
| No log        | 21.0  | 315  | 4.3933          |
| No log        | 22.0  | 330  | 4.4054          |
| No log        | 23.0  | 345  | 4.3431          |
| No log        | 24.0  | 360  | 4.3030          |
| No log        | 25.0  | 375  | 4.3601          |
| No log        | 26.0  | 390  | 4.3288          |
| No log        | 27.0  | 405  | 4.2502          |
| No log        | 28.0  | 420  | 4.1835          |
| No log        | 29.0  | 435  | 4.2719          |
| No log        | 30.0  | 450  | 4.2541          |
| No log        | 31.0  | 465  | 4.2910          |
| No log        | 32.0  | 480  | 4.3543          |
| No log        | 33.0  | 495  | 4.4530          |
| 0.2652        | 34.0  | 510  | 4.3851          |
| 0.2652        | 35.0  | 525  | 4.3539          |
| 0.2652        | 36.0  | 540  | 4.4083          |
| 0.2652        | 37.0  | 555  | 4.3998          |
| 0.2652        | 38.0  | 570  | 4.4422          |
| 0.2652        | 39.0  | 585  | 4.4466          |
| 0.2652        | 40.0  | 600  | 4.4148          |
| 0.2652        | 41.0  | 615  | 4.4509          |
| 0.2652        | 42.0  | 630  | 4.4941          |
| 0.2652        | 43.0  | 645  | 4.5451          |
| 0.2652        | 44.0  | 660  | 4.5409          |
| 0.2652        | 45.0  | 675  | 4.5605          |
| 0.2652        | 46.0  | 690  | 4.5356          |
| 0.2652        | 47.0  | 705  | 4.5376          |
| 0.2652        | 48.0  | 720  | 4.5301          |
| 0.2652        | 49.0  | 735  | 4.5396          |
| 0.2652        | 50.0  | 750  | 4.5436          |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.10.0
- Datasets 2.5.1
- Tokenizers 0.12.1