---
library_name: peft
tags:
- generated_from_trainer
metrics:
- accuracy
base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
model-index:
- name: NLI-Lora-Fine-Tuning-10K-Roberta
  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. -->

# NLI-Lora-Fine-Tuning-10K-Roberta

This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7314
- Accuracy: 0.6795

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 312  | 1.0705          | 0.4207   |
| 1.1119        | 2.0   | 624  | 1.0411          | 0.4660   |
| 1.1119        | 3.0   | 936  | 0.9899          | 0.5193   |
| 1.0398        | 4.0   | 1248 | 0.9264          | 0.5667   |
| 0.9603        | 5.0   | 1560 | 0.8394          | 0.6222   |
| 0.9603        | 6.0   | 1872 | 0.7944          | 0.6380   |
| 0.8749        | 7.0   | 2184 | 0.7575          | 0.6665   |
| 0.8749        | 8.0   | 2496 | 0.7439          | 0.6689   |
| 0.822         | 9.0   | 2808 | 0.7331          | 0.6795   |
| 0.8073        | 10.0  | 3120 | 0.7314          | 0.6795   |


### Framework versions

- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2