---
base_model: Tanor/SRGPTSENTNEG2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SRGPTSENTNEG2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SRGPTSENTNEG2

This model is a fine-tuned version of [Tanor/SRGPTSENTNEG2](https://huggingface.co/Tanor/SRGPTSENTNEG2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1820
- F1: 0.3235

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.1297        | 1.0   | 2697  | 0.1564          | 0.0    |
| 0.0867        | 2.0   | 5394  | 0.1468          | 0.2903 |
| 0.0467        | 3.0   | 8091  | 0.1674          | 0.3288 |
| 0.052         | 4.0   | 10788 | 0.2066          | 0.3514 |
| 0.0403        | 5.0   | 13485 | 0.1820          | 0.3235 |


### Framework versions

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