---
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-18
  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-18

This model is a fine-tuned version of [/ephemeral/hossein/output/newData-progressive-yoco-tiny-llama-CDL-19/checkpoint-50](https://huggingface.co//ephemeral/hossein/output/newData-progressive-yoco-tiny-llama-CDL-19/checkpoint-50) 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