1.3 KiB
1.3 KiB
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | apache-2.0 | unsloth/tinyllama |
|
|
TinyLlama-1.1B-Hindi
This model is a fine-tuned version of unsloth/tinyllama 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: 0.0003
- 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