---
base_model: Tanor/SRGPTSENTNEG4
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTNEG4
  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. -->

# SRGPTSENTNEG4

This model is a fine-tuned version of [Tanor/SRGPTSENTNEG4](https://huggingface.co/Tanor/SRGPTSENTNEG4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1890
- F1: 0.3836

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1142        | 1.0   | 2703  | 0.0752          | 0.0    |
| 0.1055        | 2.0   | 5406  | 0.1735          | 0.4463 |
| 0.0793        | 3.0   | 8109  | 0.1349          | 0.3529 |
| 0.0337        | 4.0   | 10812 | 0.1890          | 0.3836 |


### Framework versions

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