gitlab-mr-analysis-default-model_07112024T144546 – AI Model by Imkaran | AlphaNeural AI

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Imkaran/
gitlab-mr-analysis-default-model_07112024T144546

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text-classification

generated_from_trainer

crest-data-systems/gitlab-mr-analysis-default-model

autotrain_compatible

endpoints_compatible

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gitlab-mr-analysis-default-model_07112024T144546

This model is a fine-tuned version of crest-data-systems/gitlab-mr-analysis-default-model on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.8027
F1: 0.6073
Learning Rate: 0.0

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
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 15
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Rate
No log	0.9943	87	1.4164	0.4734	0.0000
No log	2.0	175	1.1559	0.5633	0.0000
No log	2.9943	262	1.1174	0.5783	0.0000
No log	4.0	350	1.1657	0.5926	0.0000
No log	4.9943	437	1.2393	0.5971	0.0000
1.1987	6.0	525	1.3274	0.5808	0.0000
1.1987	6.9943	612	1.4004	0.5978	0.0000
1.1987	8.0	700	1.5053	0.5934	0.0000
1.1987	8.9943	787	1.5536	0.5977	0.0000
1.1987	10.0	875	1.6054	0.6014	0.0000
1.1987	10.9943	962	1.6829	0.5987	0.0000
0.2146	12.0	1050	1.7637	0.6054	0.0000
0.2146	12.9943	1137	1.7628	0.6033	0.0000
0.2146	14.0	1225	1.7768	0.6056	0.0000
0.2146	14.9143	1305	1.8027	0.6073	0.0

Framework versions

Transformers 4.44.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.19.1