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gemmalearnnew – AI Model by quasar1256 | AlphaNeural AI
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gemmalearnnew
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peft
safetensors
trl
sft
generated_from_trainer
generator
google/gemma-2b
adapter
gemma
us
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Model card
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GemmaSheep-2B-LORA-TUNED
This model is a fine-tuned version of
google/gemma-2b
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 2.1504
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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 593
Training results
Training Loss
Epoch
Step
Validation Loss
2.8581
0.82
100
2.5287
2.4457
1.64
200
2.3240
2.2896
2.46
300
2.2217
2.2211
3.28
400
2.1753
2.2061
4.1
500
2.1504
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.0.1a0+cxx11.abi
Datasets 2.18.0
Tokenizers 0.15.2
