---
license: mit
tags:
- generated_from_trainer
model-index:
- name: refinement-finetuned-mnli-kaggle-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# refinement-finetuned-mnli-kaggle-2

This model is a fine-tuned version of [mfreihaut/refinement-finetuned-mnli-1](https://huggingface.co/mfreihaut/refinement-finetuned-mnli-1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4099

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.6157        | 1.0   | 12599  | 0.5321          |
| 0.5355        | 2.0   | 25198  | 0.6121          |
| 0.4084        | 3.0   | 37797  | 0.3938          |
| 0.4596        | 4.0   | 50396  | 0.3925          |
| 0.4625        | 5.0   | 62995  | 0.3928          |
| 0.4668        | 6.0   | 75594  | 0.3892          |
| 0.5054        | 7.0   | 88193  | 0.4097          |
| 0.4953        | 8.0   | 100792 | 0.4099          |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.10.0
- Datasets 2.5.1
- Tokenizers 0.12.1