fine_tuned_cb_sloroberta – AI Model by lenatr99 | AlphaNeural AI

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lenatr99/
fine_tuned_cb_sloroberta

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text-classification

generated_from_trainer

EMBEDDIA/sloberta

autotrain_compatible

endpoints_compatible

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fine_tuned_cb_sloroberta

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

Loss: 1.0242
Accuracy: 0.6818
F1: 0.6317

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 400

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.7427	3.5714	50	1.4714	0.3182	0.1536
0.5036	7.1429	100	0.8326	0.6818	0.6352
0.229	10.7143	150	1.0356	0.6364	0.5893
0.0871	14.2857	200	0.6893	0.6818	0.6680
0.0344	17.8571	250	0.9159	0.7727	0.7671
0.0211	21.4286	300	1.0231	0.6818	0.6352
0.0169	25.0	350	1.0289	0.6364	0.5893
0.0159	28.5714	400	1.0242	0.6818	0.6317

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1