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dianamihalache27/
ceva

Name: ceva
Availability: InStock

generated_from_trainer

dianamihalache27/Twroberta-baseB_5epoch

finetune

autotrain_compatible

endpoints_compatible

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ceva

This model is a fine-tuned version of dianamihalache27/Twroberta-baseB_5epoch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1932
Accuracy: 0.7714
F1: 0.2892
Precision: 0.2435
Recall: 0.3579
Precision Sarcastic: 0.3372
Recall Sarcastic: 0.4833
F1 Sarcastic: 0.3973

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	0.1618	0.7893	0.2947	0.2611	0.3395	0.3458	0.4611	0.3952
No log	2.0	434	0.1815	0.7629	0.3104	0.2560	0.4059	0.3299	0.5278	0.4060
0.0559	3.0	651	0.1762	0.8	0.2957	0.2991	0.3173	0.3721	0.4444	0.4051
0.0559	4.0	868	0.1811	0.7636	0.2933	0.2418	0.3727	0.3297	0.5111	0.4009
0.0245	5.0	1085	0.1932	0.7714	0.2892	0.2435	0.3579	0.3372	0.4833	0.3973

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

dianamihalache27/ceva

ceva

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

dianamihalache27/
ceva