---
license: apache-2.0
base_model: Tanor/BERTicSENTPOS4
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTPOS4
  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. -->

# BERTicSENTPOS4

This model is a fine-tuned version of [Tanor/BERTicSENTPOS4](https://huggingface.co/Tanor/BERTicSENTPOS4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0550
- F1: 0.5143

## 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        | 0.98  | 47   | 0.0692          | 0.0    |
| No log        | 1.99  | 95   | 0.0492          | 0.0    |
| No log        | 2.99  | 143  | 0.0470          | 0.3158 |
| No log        | 4.0   | 191  | 0.0471          | 0.4815 |
| No log        | 4.98  | 238  | 0.0513          | 0.5172 |
| No log        | 5.99  | 286  | 0.0550          | 0.5143 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3