mamba-text-classification – AI Model by date3k2 | AlphaNeural AI

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date3k2/
mamba-text-classification

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text-classification

generated_from_trainer

stanfordnlp/imdb

state-spaces/mamba-130m-hf

autotrain_compatible

text-generation-inference

endpoints_compatible

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mamba-text-classification

This model is a fine-tuned version of state-spaces/mamba-130m-hf on imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.3637
Accuracy: 0.9454
F1: 0.9454
Recall: 0.9461
Precision: 0.9447

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 32
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall	Precision
0.1731	0.9997	781	0.1553	0.9425	0.9427	0.9462	0.9393
0.1316	1.9994	1562	0.1970	0.9319	0.9294	0.8974	0.9639
0.0224	2.9990	2343	0.3137	0.9454	0.9455	0.9479	0.9432
0.0002	4.0	3125	0.3501	0.9449	0.9450	0.9470	0.9431
0.0004	4.9984	3905	0.3637	0.9454	0.9454	0.9461	0.9447

Framework versions

Transformers 4.41.0
Pytorch 2.2.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1