---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: kaelte
  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. -->

# kaelte

This model is a fine-tuned version of [svalabs/gbert-large-zeroshot-nli](https://huggingface.co/svalabs/gbert-large-zeroshot-nli) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0022
- F1: 1.0

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 0.94  | 11   | 0.6783          | 0.7786 |
| No log        | 1.94  | 22   | 0.1718          | 0.9272 |
| No log        | 2.94  | 33   | 0.0769          | 0.9887 |
| No log        | 3.94  | 44   | 0.0686          | 0.9887 |
| No log        | 4.94  | 55   | 0.0227          | 0.9887 |
| No log        | 5.94  | 66   | 0.0075          | 1.0    |
| No log        | 6.94  | 77   | 0.0099          | 1.0    |
| No log        | 7.94  | 88   | 0.0025          | 1.0    |
| No log        | 8.94  | 99   | 0.0023          | 1.0    |
| No log        | 9.94  | 110  | 0.0022          | 1.0    |


### Framework versions

- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1