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dallema – AI Model by ThejasElandassery | AlphaNeural AI
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ThejasElandassery
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dallema
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peft
safetensors
trl
sft
generated_from_trainer
ipex
GPU MAX 1100
generator
google/gemma-2b
adapter
gemma
us
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Model card
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dallema
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: 2.3748
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training Hardware
This model was trained using Intel Data Center GPU Max 1100
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: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 296
Training results
Training Loss
Epoch
Step
Validation Loss
2.8348
1.64
100
2.5300
2.4651
3.28
200
2.3748
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.0.1a0+cxx11.abi
Datasets 2.18.0
Tokenizers 0.15.2
