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lora_num3 – AI Model by mdrobs14 | AlphaNeural AI
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mdrobs14
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lora_num3
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peft
tensorboard
safetensors
generated_from_trainer
openlm-research/open_llama_7b
adapter
apache-2.0
us
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lora_num3
This model is a fine-tuned version of
openlm-research/open_llama_7b
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.7808
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: 2
eval_batch_size: 2
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: 8
Training results
Training Loss
Epoch
Step
Validation Loss
2.2647
1.0
37
2.0351
1.9841
2.0
74
1.9280
1.8341
3.0
111
1.8405
1.7472
4.0
148
1.8010
1.7096
5.0
185
1.7887
1.6943
6.0
222
1.7828
1.6705
7.0
259
1.7814
1.6625
8.0
296
1.7808
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.1
Tokenizers 0.21.1
