gemma2b-b – AI Model by YuanZ77 | AlphaNeural AI

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YuanZ77/
gemma2b-b

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text-generation

generated_from_trainer

google/gemma-2-2b-it

autotrain_compatible

text-generation-inference

endpoints_compatible

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gemma2b-b

This model is a fine-tuned version of google/gemma-2-2b-it on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.0122

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 64
total_eval_batch_size: 8
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

Training Loss	Epoch	Step	Validation Loss
1.39	0.9180	7	1.3376
0.9541	1.9672	15	1.0215
0.745	2.7541	21	1.0122

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 3.0.0
Tokenizers 0.19.1