classification_sst – AI Model by latent-mosaic-27 | AlphaNeural AI

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latent-mosaic-27/
classification_sst

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text-classification

generated_from_trainer

Shitao/llama2-sst2

text-embeddings-inference

endpoints_compatible

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classification_sst

This model is a fine-tuned version of Shitao/llama2-sst2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1896
Accuracy: 0.9576

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: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.124	1.0	16838	0.1896	0.9576

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu124
Datasets 3.2.0
Tokenizers 0.21.0