thro – AI Model by sweet-sour-pig | AlphaNeural AI

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sweet-sour-pig/
thro

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text-classification

generated_from_trainer

meta-llama/Llama-3.2-1B

autotrain_compatible

text-generation-inference

endpoints_compatible

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thro

This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Accuracy: 1.0
F1: 1.0
Recall: 1.0

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use 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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Recall
0.0	1.0	125	0.0000	1.0	1.0	1.0
0.0	2.0	250	0.0000	1.0	1.0	1.0

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0