Buckets:
105 MB
7 files
Updated 8 days ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.52 kB xet | 818ba6de | |
| README.md | 1.49 kB xet | ba307edc | |
| adapter_config.json | 1.13 kB xet | 9be93498 | |
| adapter_model.safetensors | 101 MB xet | f7d8abb3 | |
| tokenizer.json | 3.62 MB xet | 075fba5a | |
| tokenizer_config.json | 425 Bytes xet | 8af5f488 | |
| training_args.bin | 5.33 kB xet | 813e6df9 |
tiny-LLM
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 200
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.19.1
- Transformers 5.6.2
- Pytorch 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
- Total size
- 105 MB
- Files
- 7
- Last updated
- Jun 13
- Pre-warmed CDN
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