---
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: 0.0501
- F1: 0.6

## 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   | 53   | 0.0846          | 0.0    |
| No log        | 2.0   | 106  | 0.0477          | 0.1538 |
| No log        | 3.0   | 159  | 0.0438          | 0.6087 |
| No log        | 4.0   | 212  | 0.0421          | 0.5778 |
| No log        | 5.0   | 265  | 0.0442          | 0.5778 |
| No log        | 6.0   | 318  | 0.0477          | 0.5909 |
| No log        | 7.0   | 371  | 0.0501          | 0.6    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3