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gemma-2b-dolly-qa – AI Model by SSK0908 | AlphaNeural AI
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SSK0908
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gemma-2b-dolly-qa
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peft
safetensors
trl
sft
generated_from_trainer
generator
google/gemma-2b
adapter
gemma
us
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gemma-2b-dolly-qa
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: 2.1557
Model description
Fine-tuning learning progress.
Training and evaluation data
Fine tuned on databricks-dolly-15k with LoRa
Training procedure
Everything took place on the Intel Developer Cloud. Was fine tuned on Intel(R) Data Center GPU Max 1100.
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
2.8555
0.82
100
2.5404
2.4487
1.64
200
2.3221
2.3054
2.46
300
2.2302
2.2362
3.28
400
2.1790
2.197
4.1
500
2.1557
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.0.1a0+cxx11.abi
Datasets 2.18.0
Tokenizers 0.15.2
