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Model: mlfoundations-dev/c1_code_10d_4s_10k
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: c1_code_10d_4s_10k
+  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. -->
+
+# c1_code_10d_4s_10k
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/c1_code_10d_4s_10k 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: 16
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH 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 4.46.1
+- Pytorch 2.5.1
+- Datasets 3.0.2
+- Tokenizers 0.20.3

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all_results.json

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+    "epoch": 4.992,
+    "total_flos": 1.896730808245289e+18,
+    "train_loss": 0.5385960905979841,
+    "train_runtime": 18314.8306,
+    "train_samples_per_second": 2.73,
+    "train_steps_per_second": 0.021
+}

config.json

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+{
+  "_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.1",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

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+bf16: true
+content_tag: value
+cutoff_len: 16384
+dataloader_num_workers: 4
+dataloader_persistent_workers: true
+dataloader_pin_memory: true
+dataset: mlfoundations-dev/c1_code_10d_4s_10k
+dataset_dir: ONLINE
+ddp_timeout: 180000000
+deepspeed: dcft/train/zero3.json
+do_train: true
+enable_liger_kernel: true
+finetuning_type: full
+global_batch_size: 128
+gradient_accumulation_steps: 8
+hub_model_id: mlfoundations-dev/c1_code_10d_4s_10k
+learning_rate: 4.0e-05
+logging_steps: 1
+lr_scheduler_type: cosine
+messages: conversations
+model_name_or_path: Qwen/Qwen2.5-7B-Instruct
+num_train_epochs: 5.0
+output_dir: /scratch/08002/gsmyrnis/checkpoints/c1_code_10d_4s_10k
+overwrite_cache: true
+per_device_train_batch_size: 1
+plot_loss: true
+preprocessing_num_workers: 16
+push_to_db: true
+push_to_hub: true
+report_to: wandb
+role_tag: from
+save_strategy: epoch
+stage: sft
+template: qwen25
+user_tag: human
+warmup_ratio: 0.1

configuration.json

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+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.46.1"
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+    "model.norm.weight": "model-00003-of-00004.safetensors"
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+}

special_tokens_map.json

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+{
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+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
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+    "<|box_end|>",
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+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
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+}

tokenizer.json

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+size 11421896

tokenizer_config.json

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+}

train_results.json

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+}

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