Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
bloom_lora_finetuned – AI Model by harshitisback | AlphaNeural AI
You can deploy this model and start earning money today!
harshitisback
/
bloom_lora_finetuned
like
0
peft
safetensors
generated_from_trainer
bigscience/bloom-560m
adapter
bigscience-bloom-rail-1.0
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
bloom_lora_finetuned
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: nan
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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
4.2835
1.0
625
5.1999
16.3995
2.0
1250
7.5325
0.0
3.0
1875
nan
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
