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dianamihalache27/
Twroberta-baseB_5epoch

Name: Twroberta-baseB_5epoch
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-irony

finetune

autotrain_compatible

endpoints_compatible

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Twroberta-baseB_5epoch

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: 0.1520
Accuracy: 0.7793
F1: 0.2545
Precision: 0.2289
Recall: 0.2878
Precision Sarcastic: 0.3258
Recall Sarcastic: 0.4
F1 Sarcastic: 0.3591

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: 5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	217	0.1224	0.8571	0.0	0.0	0.0	0.0	0.0	0.0
No log	2.0	434	0.1224	0.8686	0.2294	0.4139	0.1587	0.6232	0.2389	0.3454
0.1581	3.0	651	0.1277	0.7979	0.2474	0.2290	0.2694	0.3380	0.4	0.3664
0.1581	4.0	868	0.1438	0.7914	0.2503	0.2424	0.2620	0.3137	0.3556	0.3333
0.0781	5.0	1085	0.1520	0.7793	0.2545	0.2289	0.2878	0.3258	0.4	0.3591

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1

dianamihalache27/Twroberta-baseB_5epoch

Twroberta-baseB_5epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dianamihalache27/
Twroberta-baseB_5epoch