fine_tuned_boolq_googlemt_sloberta – AI Model by tjasad | AlphaNeural AI

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tjasad/
fine_tuned_boolq_googlemt_sloberta

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text-classification

generated_from_trainer

EMBEDDIA/sloberta

autotrain_compatible

endpoints_compatible

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fine_tuned_boolq_googlemt_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: 0.6620
Accuracy: 0.6217
F1: 0.4767

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
0.6784	0.0424	50	0.6646	0.6217	0.4767
0.6768	0.0848	100	0.6692	0.6217	0.4767
0.6872	0.1272	150	0.6740	0.6217	0.4767
0.6597	0.1696	200	0.6676	0.6217	0.4767
0.664	0.2120	250	0.6641	0.6217	0.4767
0.654	0.2545	300	0.6656	0.6217	0.4767
0.6709	0.2969	350	0.6621	0.6217	0.4767
0.6815	0.3393	400	0.6620	0.6217	0.4767

Framework versions

Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1