QA_FineTuned_ArabianGPT-03B – AI Model by gp-tar4 | AlphaNeural AI

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gp-tar4/
QA_FineTuned_ArabianGPT-03B

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question-answering

generated_from_trainer

riotu-lab/ArabianGPT-03B

text-generation-inference

endpoints_compatible

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model_outputs

This model is a fine-tuned version of riotu-lab/ArabianGPT-03B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.8610

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: 0.0003
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
6.4515	0.25	10	4.5855
4.8912	0.49	20	4.1608
4.3524	0.74	30	4.0509
4.1537	0.99	40	4.0484
3.6716	1.23	50	4.0211
3.4284	1.48	60	4.1357
3.5215	1.73	70	4.2520
3.4336	1.98	80	4.0270
2.8886	2.22	90	4.9232
2.6176	2.47	100	5.0723
2.5867	2.72	110	4.8623
2.6076	2.96	120	4.8610

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2