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VirgiF_-_continue_pretrain_gemma2-awq – AI Model by RichardErkhov | AlphaNeural AI

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VirgiF_-_continue_pretrain_gemma2-awq

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continue_pretrain_gemma2 - AWQ

Model creator: https://huggingface.co/VirgiF/
Original model: https://huggingface.co/VirgiF/continue_pretrain_gemma2/

Original model description:

library_name: transformers license: gemma base_model: google/gemma-2b tags:

trl
sft
generated_from_trainer model-index:
name: continue_pretrain_gemma2 results: []

continue_pretrain_gemma2

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