---
license: mit
base_model: facebook/bart-large-mnli
tags:
- generated_from_trainer
model-index:
- name: mnli_bart_text_classification_1_08th_march_margs
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mnli_bart_text_classification_1_08th_march_margs

This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6755

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 22   | 0.7349          |
| No log        | 2.0   | 44   | 0.6755          |
| No log        | 3.0   | 66   | 0.7101          |
| No log        | 4.0   | 88   | 0.6882          |
| No log        | 5.0   | 110  | 0.6899          |
| No log        | 6.0   | 132  | 0.6862          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2