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dianamihalache27/
twitter-roberta-base_3epoch

Name: twitter-roberta-base_3epoch
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-irony

finetune

autotrain_compatible

endpoints_compatible

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twitter-roberta-base_3epoch

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-irony on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9201
Accuracy: 0.7723
F1: 0.5183
Precision: 0.6589
Recall: 0.4271
Precision Sarcastic: 0.6589
Recall Sarcastic: 0.4271
F1 Sarcastic: 0.5183

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	174	0.6210	0.7248	0.1116	0.75	0.0603	0.75	0.0603	0.1116
No log	2.0	348	0.5732	0.7767	0.5016	0.6964	0.3920	0.6964	0.3920	0.5016
0.3415	3.0	522	0.9201	0.7723	0.5183	0.6589	0.4271	0.6589	0.4271	0.5183

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

dianamihalache27/twitter-roberta-base_3epoch

twitter-roberta-base_3epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dianamihalache27/
twitter-roberta-base_3epoch