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Model: mlfoundations-dev/316_globalbatchsize64_lr1e5_epochs5
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: 316_globalbatchsize64_lr1e5_epochs5
+  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. -->
+
+# 316_globalbatchsize64_lr1e5_epochs5
+
+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/openthoughts_316 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: 1e-05
+- 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 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 2.3.0
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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all_results.json

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+{
+    "epoch": 5.0,
+    "total_flos": 3.2478016827293696e+16,
+    "train_loss": 0.6773358273506165,
+    "train_runtime": 2116.0034,
+    "train_samples_per_second": 0.747,
+    "train_steps_per_second": 0.012
+}

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
+}

configs.yaml

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+assistant_tag: assistant
+bf16: 'True'
+content_tag: value
+cutoff_len: '16384'
+dataloader_num_workers: '4'
+dataloader_persistent_workers: 'True'
+dataloader_pin_memory: 'True'
+dataset: mlfoundations-dev/openthoughts_316
+dataset_dir: ONLINE
+ddp_timeout: '180000000'
+deepspeed: /opt/ml/code/zero3.json
+do_train: 'True'
+enable_liger_kernel: 'True'
+finetuning_type: full
+formatting: sharegpt
+global_batch_size: '64'
+gradient_accumulation_steps: '8'
+hub_model_id: mlfoundations-dev/316_globalbatchsize64_lr1e5_epochs5
+learning_rate: 1e-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: /opt/ml/model
+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
+run_name: 316_globalbatchsize64_lr1e5_epochs5
+save_strategy: epoch
+stage: sft
+template: qwen25
+user_tag: user
+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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special_tokens_map.json

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+}

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