chessgpt-small-s – AI Model by dakwi | AlphaNeural AI

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dakwi/
chessgpt-small-s

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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chessgpt-small-s

This model is a fine-tuned version of gpt2 on the chess-data-s dataset. It achieves the following results on the evaluation set:

Loss: 1.2285

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.2
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.117	0.08	125	1.7791
1.7413	0.16	250	1.5959
1.6008	0.24	375	1.5021
1.5199	0.32	500	1.4334
1.4703	0.4	625	1.3873
1.4264	0.48	750	1.3483
1.3929	0.56	875	1.3172
1.3656	0.64	1000	1.2900
1.3398	0.72	1125	1.2704
1.325	0.8	1250	1.2541
1.3137	0.88	1375	1.2416
1.3001	0.96	1500	1.2310

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1