---
license: cc-by-sa-4.0
base_model: jerteh/Jerteh-355
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Jerteh355SENTPOS6
  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. -->

# Jerteh355SENTPOS6

This model is a fine-tuned version of [jerteh/Jerteh-355](https://huggingface.co/jerteh/Jerteh-355) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1035
- F1: 0.4375

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| No log        | 0.9843 | 47   | 0.0603          | 0.24   |
| No log        | 1.9895 | 95   | 0.0514          | 0.4    |
| No log        | 2.9948 | 143  | 0.0512          | 0.5581 |
| No log        | 4.0    | 191  | 0.0637          | 0.2759 |
| No log        | 4.9843 | 238  | 0.0570          | 0.5294 |
| No log        | 5.9895 | 286  | 0.1035          | 0.4375 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1