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VirgiF_-_results_pretrain_gemma_more_pause-awq – AI Model by RichardErkhov | AlphaNeural AI
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VirgiF_-_results_pretrain_gemma_more_pause-awq
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results_pretrain_gemma_more_pause - AWQ
Model creator:
https://huggingface.co/VirgiF/
Original model:
https://huggingface.co/VirgiF/results_pretrain_gemma_more_pause/
Original model description:
library_name: transformers license: gemma base_model: google/gemma-2b tags:
trl
sft
generated_from_trainer model-index:
name: results_pretrain_gemma_more_pause results: []
results_pretrain_gemma_more_pause
This model is a fine-tuned version of
google/gemma-2b
on the None dataset.
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
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.1.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1
