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TBM – AI Model by jpllm | AlphaNeural AI

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jpllm/
TBM

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text-generation

generated_from_trainer

endpoints_compatible

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TBM

This model is a fine-tuned version of jpllm/TBM 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: 32
eval_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 0.02
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.13.0
Pytorch 2.13.0+cu130
Datasets 5.0.0
Tokenizers 0.22.2