| library_name: transformers | |
| license: other | |
| base_model: TinyLlama/TinyLlama_v1.1 | |
| tags: | |
| - llama-factory | |
| - full | |
| - generated_from_trainer | |
| model-index: | |
| - name: newData-progressive-yoco-tiny-llama-CDL-21 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # newData-progressive-yoco-tiny-llama-CDL-21 | |
| This model is a fine-tuned version of [/ephemeral/hossein/hf_models/y-tinyllama/](https://huggingface.co//ephemeral/hossein/hf_models/y-tinyllama/) on the alpaca_reformatted, the UltraInteract_sft_reformatted, the reformatted_ultrachat_200k, the reformatted_MathInstruct and the small_slim_pajama datasets. | |
| ## 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: 2e-05 | |
| - train_batch_size: 58 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - distributed_type: multi-GPU | |
| - num_devices: 8 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 1856 | |
| - total_eval_batch_size: 8 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_ratio: 0.005 | |
| - training_steps: 50 | |
| ### Training results | |
| ### Framework versions | |
| - Transformers 4.45.2 | |
| - Pytorch 2.5.1+cu124 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |