prompt_fine_tuned_boolq_googlemt_sloberta – AI Model by tjasad | AlphaNeural AI

You can deploy this model and start earning money today!

tjasad/
prompt_fine_tuned_boolq_googlemt_sloberta

like

0

generated_from_trainer

EMBEDDIA/sloberta

Views

No views yet

prompt_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: 0.6648
Accuracy: 0.6187
F1: 0.4828

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
0.702	0.0424	50	0.6852	0.5856	0.5231
0.6764	0.0848	100	0.6712	0.6061	0.5086
0.6879	0.1272	150	0.6696	0.6052	0.5037
0.6585	0.1696	200	0.6670	0.6116	0.4966
0.6559	0.2120	250	0.6655	0.6107	0.5001
0.6648	0.2545	300	0.6649	0.6138	0.4849
0.6715	0.2969	350	0.6648	0.6190	0.4834
0.6773	0.3393	400	0.6648	0.6187	0.4828

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1