---
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: 0.1827
- F1: 0.3902

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.0327        | 1.0   | 3010  | 0.1860          | 0.1429 |
| 0.0897        | 2.0   | 6020  | 0.1548          | 0.4211 |
| 0.0361        | 3.0   | 9030  | 0.1446          | 0.4390 |
| 0.0251        | 4.0   | 12041 | 0.2221          | 0.3896 |
| 0.0095        | 5.0   | 15051 | 0.1827          | 0.3902 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.1.0.dev20230715
- Datasets 2.13.1
- Tokenizers 0.13.3