nbjkkjk798

TinyLlama-1.1B-Hindi

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README

License: apache-2.0

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: 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: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.5.0
Pytorch 2.10.0+cu128
Datasets 4.3.0
Tokenizers 0.22.2

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Model Details

Model Provider

nbjkkjk798

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Base

unsloth/tinyllama

Fine-tuned

this model

Input Modalities

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Output Modalities

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README

License: apache-2.0

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: 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: cosine
lr_scheduler_warmup_steps: 0.03
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 5.5.0
Pytorch 2.10.0+cu128
Datasets 4.3.0
Tokenizers 0.22.2