---
library_name: transformers
base_model: sercetexam9/cs221-xlnet-base-cased-finetuned
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: cs221-xlnet-base-cased-finetuned-20-epochs
  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. -->

# cs221-xlnet-base-cased-finetuned-20-epochs

This model is a fine-tuned version of [sercetexam9/cs221-xlnet-base-cased-finetuned](https://huggingface.co/sercetexam9/cs221-xlnet-base-cased-finetuned) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4195
- F1: 0.7215
- Accuracy: 0.4314

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 0.1871        | 1.0   | 70   | 0.4195          | 0.7215 | 0.4314   |
| 0.1906        | 2.0   | 140  | 0.4226          | 0.7209 | 0.4585   |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.21.0