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Model: open-sci/sft__ot30k_Qwen2.5-1.5B-SFT-Tulu3-decontaminated
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2026-04-26 22:30:08 +08:00
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---
library_name: transformers
license: other
base_model: ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated
tags:
- llama-factory
- full
- generated_from_trainer
datasets:
- arrow
model-index:
- name: sft__f679a5c592c8dffb__d81490408afcf7382748__fa2-qwen-steps
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. -->
# sft__f679a5c592c8dffb__d81490408afcf7382748__fa2-qwen-steps
This model is a fine-tuned version of [ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated](https://huggingface.co/ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated) on the /gpfs/scratch/ehpc524/ot/hf_hub/datasets/open-thoughts_open_thoughts3-1.2_m_30000_samples/default/0.0.0/f679a5c592c8dffb 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 2.10.0+cu128
- Datasets 4.8.4
- Tokenizers 0.21.4

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"epoch": 5.0,
"loss_nan_ranks": 0,
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"train_loss": 1.0709928606926127,
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"train_samples_per_second": 28.74,
"train_steps_per_second": 0.225,
"valid_targets_mean": 11353.3,
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}

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{%- for message in messages -%}
{%- if message["role"] == "system" -%}
{{- "<|system|>
" + message["content"] + "
" -}}
{%- elif message["role"] == "user" -%}
{{- "<|user|>
" + message["content"] + "
" -}}
{%- elif message["role"] == "assistant" -%}
{%- if not loop.last -%}
{{- "<|assistant|>
" + message["content"] + eos_token + "
" -}}
{%- else -%}
{{- "<|assistant|>
" + message["content"] + eos_token -}}
{%- endif -%}
{%- endif -%}
{%- if loop.last and add_generation_prompt -%}
{{- "<|assistant|>
" -}}
{%- endif -%}
{%- endfor -%}

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"max_position_embeddings": 131072,
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"model_type": "qwen2",
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