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distilbert-chess – AI Model by timzeg | AlphaNeural AI
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timzeg
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distilbert-chess
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-cased
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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distilbert-chess
This model is a fine-tuned version of
distilbert-base-cased
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: 5e-05
train_batch_size: 64
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 4
Training results
Framework versions
Transformers 5.2.0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
