metadata
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: []
it_support_ticket_classification_pegasus
This model is a fine-tuned version of 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