CBertbase-APPS10k – AI Model by AdnanRiaz107 | AlphaNeural AI

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AdnanRiaz107/
CBertbase-APPS10k

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text-generation

generated_from_trainer

microsoft/codebert-base

autotrain_compatible

endpoints_compatible

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CBertbase-APPS10k

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

Loss: 0.0001

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 10000

Training results

Training Loss	Epoch	Step	Validation Loss
1.4626	0.05	500	0.0390
0.0215	0.1	1000	0.0065
0.0096	0.15	1500	0.0018
0.0022	0.2	2000	0.0009
0.0023	0.25	2500	0.0003
0.0011	0.3	3000	0.0004
0.0011	0.35	3500	0.0002
0.0016	0.4	4000	0.0002
0.0006	0.45	4500	0.0001
0.0004	0.5	5000	0.0001
0.0002	0.55	5500	0.0001
0.0002	0.6	6000	0.0001
0.0003	0.65	6500	0.0001
0.0001	0.7	7000	0.0001
0.0001	0.75	7500	0.0001
0.0001	0.8	8000	0.0001
0.0001	0.85	8500	0.0001
0.0001	0.9	9000	0.0001
0.0001	0.95	9500	0.0001
0.0001	1.0	10000	0.0001

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2