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gemma7b-milora-summarization-11-v1 – AI Model by klcsp | AlphaNeural AI
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klcsp
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gemma7b-milora-summarization-11-v1
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peft
tensorboard
safetensors
gemma
trl
sft
generated_from_trainer
generator
google/gemma-7b
adapter
gemma
us
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gemma7b-milora-summarization-11-v1
This model is a fine-tuned version of
google/gemma-7b
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 16.9074
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 64
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: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
38.9071
0.9977
221
16.9074
Framework versions
PEFT 0.13.3.dev0
Transformers 4.46.3
Pytorch 2.3.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
