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bloomz_lora_mn – AI Model by Billyyy | AlphaNeural AI
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Billyyy
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bloomz_lora_mn
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peft
safetensors
generated_from_trainer
bigscience/bloomz-3b
adapter
bigscience-bloom-rail-1.0
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bloomz_lora_mn
This model is a fine-tuned version of
bigscience/bloomz-3b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.4090
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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.938
0.1820
1000
2.9015
2.6901
0.3641
2000
2.7353
2.5543
0.5461
3000
2.5426
2.4624
0.7282
4000
2.4493
2.4762
0.9102
5000
2.4090
Framework versions
PEFT 0.14.0
Transformers 4.45.0
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.20.3
