---
library_name: transformers
license: other
base_model: ali-elganzory/1.7b-MixtureVitae-300BT-v1-16k-SFT-Tulu3
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft_1-7b-Mixt-300B-v1-16k-SFT-Tulu_open-thou_Open-1-2M_3000_samp_temp_open-sci_save-stra_step_1-
  results: []
---

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# sft_1-7b-Mixt-300B-v1-16k-SFT-Tulu_open-thou_Open-1-2M_3000_samp_temp_open-sci_save-stra_step_1-

This model is a fine-tuned version of [ali-elganzory/1.7b-MixtureVitae-300BT-v1-16k-SFT-Tulu3](https://huggingface.co/ali-elganzory/1.7b-MixtureVitae-300BT-v1-16k-SFT-Tulu3) on the /e/scratch/jureap59/ot/datasets/open-thoughts_OpenThoughts3-1.2M_30000_samples 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: 4e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results



### Framework versions

- Transformers 4.55.0
- Pytorch 2.9.0+cu129
- Datasets 4.5.0
- Tokenizers 0.21.1