---
tags:
- generated_from_trainer
metrics:
- f1
base_model: svalabs/gbert-large-zeroshot-nli
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: 0.1126
- F1: 0.9887

## Label-Übersetzung

- 0	Freie_Kühlung
- 1	Kälteanlage_Allgemein
- 2	Kältemaschine
- 3	Kältespeicher
- 4	Rückkühlwerk


## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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        | 0.98  | 46   | 0.3264          | 0.9074 |
| No log        | 1.98  | 92   | 0.1266          | 0.9590 |
| No log        | 2.98  | 138  | 0.0603          | 0.9887 |
| No log        | 3.98  | 184  | 0.1000          | 0.9887 |
| No log        | 4.98  | 230  | 0.1075          | 0.9887 |
| No log        | 5.98  | 276  | 0.1091          | 0.9887 |
| No log        | 6.98  | 322  | 0.1109          | 0.9887 |
| No log        | 7.98  | 368  | 0.1119          | 0.9887 |
| No log        | 8.98  | 414  | 0.1124          | 0.9887 |
| No log        | 9.98  | 460  | 0.1126          | 0.9887 |


### Framework versions

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