---
base_model: Tanor/BERTicSENTNEG4
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTNEG4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BERTicSENTNEG4

This model is a fine-tuned version of [Tanor/BERTicSENTNEG4](https://huggingface.co/Tanor/BERTicSENTNEG4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0401
- F1: 0.6667

## 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   | 0.0288          | 0.7317 |
| No log        | 1.9895 | 95   | 0.0265          | 0.7619 |
| No log        | 2.9948 | 143  | 0.0327          | 0.7727 |
| No log        | 4.0    | 191  | 0.0333          | 0.7111 |
| No log        | 4.9843 | 238  | 0.0401          | 0.6667 |


### Framework versions

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