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Model: ramzanniaz331/llama3-8b-full-sft-v3
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---
library_name: transformers
license: other
base_model: ramzanniaz331/llama3.1-8b-8192-v3
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: llama3_8b_full_sft_ramzan
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. -->
# llama3_8b_full_sft_ramzan
This model is a fine-tuned version of [ramzanniaz331/llama3.1-8b-8192-v3](https://huggingface.co/ramzanniaz331/llama3.1-8b-8192-v3) on the ramzan_5k_batch_1, the ramzan_5k_batch_2, the ramzan_openhermes, the ramzan_metamath and the ramzan_aya_urdu 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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: 0.03
- num_epochs: 2.0
### Training results
### Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.0.0
- Tokenizers 0.22.1

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{
"epoch": 2.0,
"total_flos": 25921569423360.0,
"train_loss": 0.9619188387709928,
"train_runtime": 4046.5288,
"train_samples_per_second": 10.494,
"train_steps_per_second": 0.164
}

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{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content }}{% endif %}{% endfor %}

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"rope_theta": 500000.0,
"tie_word_embeddings": false,
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"vocab_size": 128256
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"temperature": 0.6,
"top_p": 0.9,
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