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Hind-Beng-5k – AI Model by sudeshna84 | AlphaNeural AI
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sudeshna84
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Hind-Beng-5k
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peft
safetensors
generated_from_trainer
TinyLlama/TinyLlama-1.1B-Chat-v1.0
adapter
apache-2.0
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Hind-Beng-5k
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
on an unknown 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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP
Framework versions
PEFT 0.14.0
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.1
Tokenizers 0.21.0
