---
license: mit
base_model: xlnet-base-cased
tags:
- generated_from_trainer
model-index:
- name: Sentiment-Analysis-Model
  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. -->

# Sentiment-Analysis-Model

This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7202
- F1 Score: 0.6921

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1 Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8571        | 0.5   | 500  | 0.7520          | 0.6771   |
| 0.7848        | 1.0   | 1000 | 0.7468          | 0.6780   |
| 0.8367        | 1.5   | 1500 | 0.8781          | 0.5579   |
| 0.8949        | 2.0   | 2000 | 0.8666          | 0.5704   |
| 0.7922        | 2.5   | 2500 | 0.7379          | 0.6738   |
| 0.748         | 3.0   | 3000 | 0.7218          | 0.6833   |
| 0.7604        | 3.5   | 3500 | 0.7853          | 0.6645   |
| 0.7704        | 4.0   | 4000 | 0.7281          | 0.6867   |
| 0.7562        | 4.5   | 4500 | 0.7265          | 0.6904   |
| 0.7195        | 5.0   | 5000 | 0.7202          | 0.6921   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3