---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: junior_agent
  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. -->

# junior_agent

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5637
- Topology Accuracy: 0.8431
- Service Accuracy: 0.9082
- Combined Accuracy: 0.8757

## 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: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Topology Accuracy | Service Accuracy | Combined Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:-----------------:|:----------------:|:-----------------:|
| 0.8918        | 1.0   | 143  | 0.8370          | 0.7367            | 0.5824           | 0.6596            |
| 0.7634        | 2.0   | 286  | 0.6906          | 0.7872            | 0.8045           | 0.7959            |
| 0.6648        | 3.0   | 429  | 0.5570          | 0.8351            | 0.8896           | 0.8624            |
| 0.4889        | 4.0   | 572  | 0.5268          | 0.8351            | 0.9109           | 0.8730            |
| 0.4557        | 5.0   | 715  | 0.5296          | 0.8378            | 0.9109           | 0.8743            |
| 0.4257        | 6.0   | 858  | 0.5382          | 0.8364            | 0.9189           | 0.8777            |
| 0.4398        | 7.0   | 1001 | 0.5383          | 0.8497            | 0.9215           | 0.8856            |
| 0.3671        | 8.0   | 1144 | 0.5535          | 0.8497            | 0.9176           | 0.8836            |
| 0.3781        | 9.0   | 1287 | 0.5637          | 0.8431            | 0.9082           | 0.8757            |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0