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fine_tuned_roct – AI Model by EndOfLe | AlphaNeural AI
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EndOfLe
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fine_tuned_roct
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transformers
safetensors
qwen2
text-classification
generated_from_trainer
Qwen/Qwen2-1.5B
finetune
apache-2.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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fine_tuned_roct
This model is a fine-tuned version of
Qwen/Qwen2-1.5B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4360
Accuracy: 0.8990
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: 8
eval_batch_size: 8
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9049
0.0309
100
0.3296
0.8785
0.4092
0.0617
200
0.3509
0.8788
0.3024
0.0926
300
0.5640
0.8795
0.6762
0.1235
400
0.4360
0.8990
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu126
Datasets 3.3.2
Tokenizers 0.21.0
