---
license: apache-2.0
base_model: Tanor/SRGPTSENTPOS2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTPOS2
  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. -->

# SRGPTSENTPOS2

This model is a fine-tuned version of [Tanor/SRGPTSENTPOS2](https://huggingface.co/Tanor/SRGPTSENTPOS2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2156
- F1: 0.3729

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0314        | 1.0   | 2697  | 0.1674          | 0.5111 |
| 0.0236        | 2.0   | 5394  | 0.1687          | 0.4308 |
| 0.0407        | 3.0   | 8091  | 0.1571          | 0.4    |
| 0.0086        | 4.0   | 10788 | 0.3466          | 0.3437 |
| 0.007         | 5.0   | 13485 | 0.1982          | 0.3750 |
| 0.0091        | 6.0   | 16182 | 0.2023          | 0.3492 |
| 0.0071        | 7.0   | 18879 | 0.2477          | 0.3678 |
| 0.0075        | 8.0   | 21576 | 0.1556          | 0.3750 |
| 0.0089        | 9.0   | 24273 | 0.2156          | 0.3729 |


### Framework versions

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