gemma-2-2b-chess – AI Model by diabolic6045 | AlphaNeural AI

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gemma-2-2b-chess

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google/gemma-2-2b

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gemma-2-2b-chess

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

Loss: 1.0489

gemma-2-2b-chess-adapter

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.0562	0.3959	500	1.0697
1.0272	0.7918	1000	1.0489

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Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1