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dianamihalache27/
twitter-roberta-base_3epoch5.16

Name: twitter-roberta-base_3epoch5.16
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-irony

finetune

autotrain_compatible

endpoints_compatible

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twitter-roberta-base_3epoch5.16

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: 2.2787
Accuracy: 0.7579
F1: 0.4510
Precision: 0.6449
Recall: 0.3467
Precision Sarcastic: 0.6449
Recall Sarcastic: 0.3467
F1 Sarcastic: 0.4510

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	174	2.3653	0.7421	0.3584	0.625	0.2513	0.625	0.2513	0.3584
No log	2.0	348	2.4304	0.7032	0.5209	0.4848	0.5628	0.4848	0.5628	0.5209
0.0162	3.0	522	2.1549	0.7622	0.4695	0.6518	0.3668	0.6518	0.3668	0.4695
0.0162	4.0	696	2.3336	0.7392	0.4901	0.5577	0.4372	0.5577	0.4372	0.4901
0.0162	5.0	870	2.2787	0.7579	0.4510	0.6449	0.3467	0.6449	0.3467	0.4510

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

dianamihalache27/twitter-roberta-base_3epoch5.16

twitter-roberta-base_3epoch5.16

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dianamihalache27/
twitter-roberta-base_3epoch5.16