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---
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