mamba2-370m – AI Model by binh230 | AlphaNeural AI

You can deploy this model and start earning money today!

binh230/
mamba2-370m

like

0

generated_from_trainer

state-spaces/mamba2-370m

Views

No views yet

Visualize in Weights & Biases

mamba2-370m

This model is a fine-tuned version of state-spaces/mamba2-370m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1239
Accuracy: 0.9792
Precision: 0.9795
Recall: 0.9792
F1: 0.9793
Auroc: 0.9969

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: 16
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
label_smoothing_factor: 0.03

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Auroc
0.3764	0.1930	500	0.2099	0.9392	0.9385	0.9392	0.9375	0.9822
0.197	0.3861	1000	0.2205	0.9315	0.9462	0.9315	0.9344	0.9929
0.1748	0.5791	1500	0.1453	0.9690	0.9690	0.9690	0.9690	0.9942
0.1601	0.7721	2000	0.1352	0.9750	0.9756	0.9750	0.9752	0.9954
0.1542	0.9652	2500	0.2024	0.9428	0.9450	0.9428	0.9400	0.9935

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.4.0+cu124
Datasets 2.19.1
Tokenizers 0.19.1