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gemma7b-gpt4o_1k_summarize-fft – AI Model by klcsp | AlphaNeural AI
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gemma7b-gpt4o_1k_summarize-fft
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transformers
tensorboard
safetensors
gemma
text-generation
trl
sft
generated_from_trainer
conversational
generator
google/gemma-7b
finetune
gemma
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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gemma7b-gpt4o_1k_summarize-fft
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: 6.4970
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: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.9687
1.0
392
6.4970
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
