metadata

library_name: transformers
license: mit
base_model:
  - microsoft/deberta-v3-base
tags:
  - generated_from_trainer
model-index:
  - name: twitter_sentiment_small
    results: []
datasets:
  - absonS/twitter_sentiment_small
language:
  - en
metrics:
  - accuracy
pipeline_tag: text-classification

twitter_sentiment_small

This model is a fine-tuned version of absonS/twitter_sentiment_small on an unknown dataset.

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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1