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contemmcm/
8caa8f22f0ad89c800846cd4988de221

Name: 8caa8f22f0ad89c800846cd4988de221
Rating: 2.5 (8 reviews)

generated_from_trainer

FacebookAI/xlm-roberta-base

finetune

mit

text-embeddings-inference

endpoints_compatible

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8caa8f22f0ad89c800846cd4988de221

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the contemmcm/clickbait dataset. It achieves the following results on the evaluation set:

Loss: 0.0197
Data Size: 1.0
Epoch Runtime: 60.7350
Accuracy: 0.9967
F1 Macro: 0.9965

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Data Size	Epoch Runtime	Accuracy	F1 Macro
No log	0	0	0.7462	0	4.5765	0.3870	0.2790
No log	1	650	0.4462	0.0078	5.1366	0.6130	0.3801
No log	2	1300	0.0546	0.0156	5.5700	0.9886	0.9880
No log	3	1950	0.0355	0.0312	6.7655	0.9942	0.9939
No log	4	2600	0.1508	0.0625	8.4397	0.9770	0.9755
0.0042	5	3250	0.0096	0.125	12.1529	0.9981	0.9980
0.0105	6	3900	0.0102	0.25	19.1922	0.9986	0.9986
0.0027	7	4550	0.0166	0.5	33.0236	0.9981	0.9980
0.0223	8.0	5200	0.0090	1.0	62.1926	0.9988	0.9988
0.0179	9.0	5850	0.0084	1.0	60.4367	0.9988	0.9988
0.0047	10.0	6500	0.0093	1.0	60.0952	0.9986	0.9986
0.0099	11.0	7150	0.0175	1.0	62.3486	0.9975	0.9974
0.0143	12.0	7800	0.0140	1.0	60.1478	0.9981	0.9980
0.0164	13.0	8450	0.0197	1.0	60.7350	0.9967	0.9965

Framework versions

Transformers 4.57.0
Pytorch 2.8.0+cu128
Datasets 4.3.0
Tokenizers 0.22.1

contemmcm/8caa8f22f0ad89c800846cd4988de221

8caa8f22f0ad89c800846cd4988de221

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

contemmcm/
8caa8f22f0ad89c800846cd4988de221