---
base_model: Tanor/BERTicSENTPOS0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTPOS0
  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. -->

# BERTicSENTPOS0

This model is a fine-tuned version of [Tanor/BERTicSENTPOS0](https://huggingface.co/Tanor/BERTicSENTPOS0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0233
- F1: 0.7692

## 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        | 1.0   | 47   | 0.0200          | 0.6364 |
| No log        | 2.0   | 94   | 0.0311          | 0.5333 |
| No log        | 3.0   | 141  | 0.0305          | 0.5333 |
| No log        | 4.0   | 188  | 0.0171          | 0.7    |
| No log        | 5.0   | 235  | 0.0200          | 0.6957 |
| No log        | 6.0   | 282  | 0.0207          | 0.72   |
| No log        | 7.0   | 329  | 0.0233          | 0.7692 |


### Framework versions

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