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twt-probe – AI Model by realArceus | AlphaNeural AI
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realArceus
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twt-probe
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safetensors
qwen2
generated_from_trainer
Qwen/Qwen2.5-0.5B-Instruct
finetune
apache-2.0
us
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Model card
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twt-probe
This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B-Instruct
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1094
Accuracy: 0.9815
F1: 0.9906
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.188
1.0
2378
0.1183
0.9765
0.9880
0.1216
2.0
4756
0.1067
0.9815
0.9906
0.1278
3.0
7134
0.1094
0.9815
0.9906
Framework versions
Transformers 4.43.0
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
