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dianamihalache27/
Twroberta-baseB_3epoch

Name: Twroberta-baseB_3epoch
Availability: InStock

generated_from_trainer

cardiffnlp/twitter-roberta-base-irony

finetune

autotrain_compatible

endpoints_compatible

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Twroberta-baseB_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: 0.1287
Accuracy: 0.7957
Precision: 0.2382
Recall: 0.3026
F1: 0.2661

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	Precision	Recall	F1
No log	1.0	217	0.1258	0.8571	0.0	0.0	0.0
No log	2.0	434	0.1229	0.8614	0.3564	0.1624	0.2231
0.1621	3.0	651	0.1287	0.7957	0.2382	0.3026	0.2661

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

dianamihalache27/Twroberta-baseB_3epoch

Twroberta-baseB_3epoch

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dianamihalache27/
Twroberta-baseB_3epoch