loha_fine_tuned_boolq_sloberta – AI Model by tjasad | AlphaNeural AI

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tjasad/
loha_fine_tuned_boolq_sloberta

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EMBEDDIA/sloberta

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loha_fine_tuned_boolq_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: 0.5638
Accuracy: 0.7778
F1: 0.6806

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
0.6734	4.1667	50	0.5813	0.7778	0.6806
0.6547	8.3333	100	0.5652	0.7778	0.6806
0.6498	12.5	150	0.5666	0.7778	0.6806
0.655	16.6667	200	0.5663	0.7778	0.6806
0.6529	20.8333	250	0.5649	0.7778	0.6806
0.6517	25.0	300	0.5633	0.7778	0.6806
0.655	29.1667	350	0.5641	0.7778	0.6806
0.6521	33.3333	400	0.5638	0.7778	0.6806

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1