gemma2b-5kdata – AI Model by tuhinatripathi | AlphaNeural AI

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tuhinatripathi/
gemma2b-5kdata

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unsloth/gemma-2b-it-bnb-4bit

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gemma2b-5kdata

This model is a fine-tuned version of unsloth/gemma-2b-it-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.9939

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: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 135
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.036	1.0	1250	0.9939

Framework versions

PEFT 0.10.0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1