---
license: mit
base_model: microsoft/deberta-v3-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: deberta-v3-base-rotten-tomatoes-hp2
  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. -->

# deberta-v3-base-rotten-tomatoes-hp2

This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the [rotten_tomatoes](https://huggingface.co/datasets/rotten_tomatoes) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2619
- F1: 0.9184

## 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: 7.5e-06
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 267  | 0.2430          | 0.9146 |
| 0.3091        | 2.0   | 534  | 0.2499          | 0.9156 |
| 0.3091        | 3.0   | 801  | 0.2829          | 0.9174 |
| 0.1496        | 4.0   | 1068 | 0.2742          | 0.9137 |
| 0.1496        | 5.0   | 1335 | 0.3845          | 0.9099 |
| 0.0864        | 6.0   | 1602 | 0.4254          | 0.9024 |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2