---
library_name: transformers
base_model: interneuronai/it_support_ticket_classification_pegasus
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: it_support_ticket_classification_pegasus
  results: []
---

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# it_support_ticket_classification_pegasus

This model is a fine-tuned version of [interneuronai/it_support_ticket_classification_pegasus](https://huggingface.co/interneuronai/it_support_ticket_classification_pegasus) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5305
- F1: 0.2029

## 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: 4e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | F1     |
|:-------------:|:-----:|:------:|:---------------:|:------:|
| 2.2879        | 1.0   | 44087  | 2.5181          | 0.2029 |
| 2.2836        | 2.0   | 88174  | 2.5404          | 0.2029 |
| 2.2775        | 3.0   | 132261 | 2.5305          | 0.2029 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.6.0+cu118
- Datasets 3.2.0
- Tokenizers 0.20.3