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dianamihalache27/
twitter-roberta-base_3epoch3

Name: twitter-roberta-base_3epoch3
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-irony

finetune

autotrain_compatible

endpoints_compatible

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twitter-roberta-base_3epoch3

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: 1.6791
Accuracy: 0.7565
F1: 0.4955
Precision: 0.6103
Recall: 0.4171
Precision Sarcastic: 0.6103
Recall Sarcastic: 0.4171
F1 Sarcastic: 0.4955

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	174	1.4006	0.7450	0.5042	0.5696	0.4523	0.5696	0.4523	0.5042
No log	2.0	348	1.5769	0.7608	0.5311	0.6065	0.4724	0.6065	0.4724	0.5311
0.0602	3.0	522	1.6791	0.7565	0.4955	0.6103	0.4171	0.6103	0.4171	0.4955

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

dianamihalache27/twitter-roberta-base_3epoch3

twitter-roberta-base_3epoch3

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dianamihalache27/
twitter-roberta-base_3epoch3