fine_tuned_rte_sloberta – AI Model by lenatr99 | AlphaNeural AI

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lenatr99/
fine_tuned_rte_sloberta

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text-classification

generated_from_trainer

EMBEDDIA/sloberta

autotrain_compatible

endpoints_compatible

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fine_tuned_rte_sloberta

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

Loss: 0.6898
Accuracy: 0.6897
F1: 0.6912

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
0.7035	1.7241	50	0.7322	0.4138	0.2422
0.7032	3.4483	100	0.6935	0.4138	0.2422
0.6998	5.1724	150	0.7021	0.4138	0.2422
0.697	6.8966	200	0.6828	0.5862	0.4333
0.6968	8.6207	250	0.6837	0.5862	0.4333
0.6965	10.3448	300	0.6897	0.5862	0.4333
0.6934	12.0690	350	0.6869	0.5862	0.4333
0.6878	13.7931	400	0.6898	0.6897	0.6912

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1