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bloom-560-finetuned-owasp-8epochs – AI Model by pdazad | AlphaNeural AI
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pdazad
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bloom-560-finetuned-owasp-8epochs
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transformers
onnx
safetensors
bloom
text-generation
generated_from_trainer
bigscience/bloom-560m
quantized
bigscience-bloom-rail-1.0
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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fine_tuned_bloom
This model is a fine-tuned version of
bigscience/bloom-560m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5997
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
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: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
14
2.7228
No log
2.0
28
1.8992
No log
3.0
42
1.3979
No log
4.0
56
1.4067
No log
5.0
70
1.4500
No log
6.0
84
1.5997
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0
