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moficodes_-_gemma-2b-it-dolly-finetune-awq – AI Model by RichardErkhov | AlphaNeural AI
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gemma-2b-it-dolly-finetune - AWQ
Model creator:
https://huggingface.co/moficodes/
Original model:
https://huggingface.co/moficodes/gemma-2b-it-dolly-finetune/
Original model description:
license: other tags:
trl
sft
generated_from_trainer datasets:
generator base_model: google/gemma-2b-it model-index:
name: gemma-2b-it-dolly-finetune results: []
gemma-2b-it-dolly-finetune
This model is a fine-tuned version of
google/gemma-2b-it
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 3.1625
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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 128
total_eval_batch_size: 64
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
5.2432
0.96
3
3.1625
Framework versions
Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2
