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Model: open-sci/sft__ot30k_Qwen2.5-1.5B-SFT-Tulu3-decontaminated
Source: Original Platform

.gitattributes

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README.md

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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

added_tokens.json

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+  "<|box_end|>": 151649,
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+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
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+}

all_results.json

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+{
+    "epoch": 5.0,
+    "loss_nan_ranks": 0,
+    "loss_rank_avg": 0.4849323630332947,
+    "total_flos": 1940656491724800.0,
+    "train_loss": 1.0709928606926127,
+    "train_runtime": 5219.2407,
+    "train_samples_per_second": 28.74,
+    "train_steps_per_second": 0.225,
+    "valid_targets_mean": 11353.3,
+    "valid_targets_min": 2084
+}

chat_template.jinja

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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 -%}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.0",
+  "use_cache": false,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151680
+}

generation_config.json

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+  "max_new_tokens": 2048,
+  "pad_token_id": 151643,
+  "transformers_version": "4.55.0"
+}

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run_summary.json

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+  "agent_name": "f679a5c592c8dffb",
+  "training_start": null,
+  "training_end": null,
+  "created_by": "DCAgent",
+  "base_model_name": "/gpfs/scratch/ehpc524/ot/hf_hub/models--ali-elganzory--Qwen2.5-1.5B-SFT-Tulu3-decontaminated/snapshots/d81490408afcf73827481966e90b4d62ab2c915c",
+  "dataset_name": "/gpfs/scratch/ehpc524/ot/hf_hub/datasets/open-thoughts_open_thoughts3-1.2_m_30000_samples/default/0.0.0/f679a5c592c8dffb",
+  "training_type": "SFT",
+  "training_parameters": "https://huggingface.co/mlfoundations-dev/sft__f679a5c592c8dffb__d81490408afcf7382748__fa2-qwen-steps/blob/main/config.json",
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+  "traces_location_s3": null
+}

runs/Apr20_17-04-36_as02r1b18/events.out.tfevents.1776698053.as02r1b18.123446.0

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special_tokens_map.json

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tokenizer_config.json

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train_results.json

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+}

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