---
license: mit
tags:
- generated_from_trainer
model-index:
- name: mnli_MULTI
  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. -->

# mnli_MULTI

This model is a fine-tuned version of [WillHeld/roberta-base-mnli](https://huggingface.co/WillHeld/roberta-base-mnli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5379
- Acc: 0.8407

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Acc    |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.4798        | 0.17  | 2000  | 0.4797          | 0.8220 |
| 0.4483        | 0.33  | 4000  | 0.4576          | 0.8257 |
| 0.4282        | 0.5   | 6000  | 0.4628          | 0.8298 |
| 0.4333        | 0.67  | 8000  | 0.4426          | 0.8311 |
| 0.4251        | 0.83  | 10000 | 0.4449          | 0.8333 |
| 0.4154        | 1.0   | 12000 | 0.4518          | 0.8376 |
| 0.3064        | 1.17  | 14000 | 0.4845          | 0.8350 |
| 0.3072        | 1.33  | 16000 | 0.4803          | 0.8383 |
| 0.3144        | 1.5   | 18000 | 0.4824          | 0.8322 |
| 0.3025        | 1.66  | 20000 | 0.4634          | 0.8391 |
| 0.3063        | 1.83  | 22000 | 0.4625          | 0.8419 |
| 0.304         | 2.0   | 24000 | 0.4637          | 0.8401 |
| 0.2232        | 2.16  | 26000 | 0.5330          | 0.8434 |
| 0.2215        | 2.33  | 28000 | 0.5338          | 0.8374 |
| 0.2181        | 2.5   | 30000 | 0.5366          | 0.8393 |
| 0.216         | 2.66  | 32000 | 0.5333          | 0.8425 |
| 0.2118        | 2.83  | 34000 | 0.5293          | 0.8414 |
| 0.2128        | 3.0   | 36000 | 0.5379          | 0.8407 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.12.1