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Model: open-sci/sft__ot30k_Qwen3-1.7B-Base-SFT-Tulu3-decontaminated
Source: Original Platform

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+library_name: transformers
+license: other
+base_model: ali-elganzory/Qwen3-1.7B-Base-SFT-Tulu3-decontaminated
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+datasets:
+- arrow
+model-index:
+- name: sft__f679a5c592c8dffb__b4bfd93d8848cb99e95a__qwen3-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__b4bfd93d8848cb99e95a__qwen3-steps
+
+This model is a fine-tuned version of [ali-elganzory/Qwen3-1.7B-Base-SFT-Tulu3-decontaminated](https://huggingface.co/ali-elganzory/Qwen3-1.7B-Base-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_steps: 0.1
+- num_epochs: 5.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 5.5.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.8.4
+- Tokenizers 0.22.2

all_results.json

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+{
+    "epoch": 5.0,
+    "loss_nan_ranks": 0,
+    "loss_rank_avg": 0.4691426753997803,
+    "total_flos": 1658037051588608.0,
+    "train_loss": 1.0214215231449046,
+    "train_runtime": 6105.894,
+    "train_samples_per_second": 24.566,
+    "train_steps_per_second": 0.192,
+    "valid_targets_mean": 13499.5,
+    "valid_targets_min": 3345
+}

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": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 6144,
+  "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": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.5.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151680
+}

generation_config.json

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+{
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "max_new_tokens": 2048,
+  "pad_token_id": 151643,
+  "transformers_version": "5.5.0"
+}

model.safetensors

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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--Qwen3-1.7B-Base-SFT-Tulu3-decontaminated/snapshots/b4bfd93d8848cb99e95aca440452d4a50fafbfce/",
+  "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__b4bfd93d8848cb99e95a__qwen3-steps/blob/main/config.json",
+  "wandb_link": null,
+  "traces_location_s3": null
+}

tokenizer.json

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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 16384,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

train_results.json

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+{
+    "epoch": 5.0,
+    "loss_nan_ranks": 0,
+    "loss_rank_avg": 0.4691426753997803,
+    "total_flos": 1658037051588608.0,
+    "train_loss": 1.0214215231449046,
+    "train_runtime": 6105.894,
+    "train_samples_per_second": 24.566,
+    "train_steps_per_second": 0.192,
+    "valid_targets_mean": 13499.5,
+    "valid_targets_min": 3345
+}

training_args.bin

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