---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: self_iterative_v2_targeted_iteration_1
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/itroned-ntnu/huggingface/runs/vc8gvd7c)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/itroned-ntnu/huggingface/runs/vc8gvd7c)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/itroned-ntnu/huggingface/runs/vc8gvd7c)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/itroned-ntnu/huggingface/runs/vc8gvd7c)
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/itroned-ntnu/huggingface/runs/vc8gvd7c)
# self_iterative_v2_targeted_iteration_1

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.5896
- Accuracy Targeted: 0.6822
- F1 Macro Targeted: 0.4884
- F1 Weighted Targeted: 0.6003
- F1 Macro Total: 0.4884
- F1 Weighted Total: 0.6003

## 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: 6e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy Targeted | F1 Macro Targeted | F1 Weighted Targeted | F1 Macro Total | F1 Weighted Total |
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|:-----------------:|:--------------------:|:--------------:|:-----------------:|
| 0.3375        | 1.0   | 5899  | 4.8907          | 0.6778            | 0.4040            | 0.5476               | 0.4040         | 0.5476            |
| 0.2568        | 2.0   | 11798 | 4.9433          | 0.6778            | 0.4040            | 0.5476               | 0.4040         | 0.5476            |
| 0.2147        | 3.0   | 17697 | 5.5877          | 0.6889            | 0.4516            | 0.5799               | 0.4516         | 0.5799            |
| 0.1024        | 4.0   | 23596 | 6.9925          | 0.6733            | 0.4271            | 0.5607               | 0.4271         | 0.5607            |
| 0.1134        | 5.0   | 29495 | 6.5896          | 0.6822            | 0.4884            | 0.6003               | 0.4884         | 0.6003            |
| 0.0407        | 6.0   | 35394 | 7.8903          | 0.6733            | 0.4694            | 0.5863               | 0.4694         | 0.5863            |
| 0.024         | 7.0   | 41293 | 6.2429          | 0.6756            | 0.4451            | 0.5722               | 0.4451         | 0.5722            |
| 0.0105        | 8.0   | 47192 | 9.8105          | 0.68              | 0.4360            | 0.5679               | 0.4360         | 0.5679            |
| 0.0334        | 9.0   | 53091 | 9.7531          | 0.6689            | 0.4194            | 0.5547               | 0.4194         | 0.5547            |
| 0.0161        | 10.0  | 58990 | 11.4841         | 0.6667            | 0.4408            | 0.5672               | 0.4408         | 0.5672            |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.0.1
- Tokenizers 0.21.1