commit 350b9608f05d5415a345ffff91585411383a87df Author: ModelHub XC Date: Tue May 26 00:22:23 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-flash Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs 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file mode 100644 index 0000000..a7eb080 --- /dev/null +++ b/README.md @@ -0,0 +1,67 @@ +--- +library_name: transformers +license: llama3.1 +base_model: meta-llama/Meta-Llama-3.1-8B +tags: +- llama-factory +- full +- generated_from_trainer +model-index: +- name: oh-dcft-v3.1-gemini-1.5-flash + results: [] +--- + + + +# oh-dcft-v3.1-gemini-1.5-flash + +This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-flash dataset. +It achieves the following results on the evaluation set: +- Loss: 0.5841 + +## 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: 5e-06 +- train_batch_size: 8 +- eval_batch_size: 8 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 8 +- gradient_accumulation_steps: 8 +- total_train_batch_size: 512 +- 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: constant +- num_epochs: 3.0 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | +|:-------------:|:------:|:----:|:---------------:| +| 0.5979 | 0.9979 | 425 | 0.6003 | +| 0.547 | 1.9985 | 851 | 0.5847 | +| 0.5003 | 2.9944 | 1275 | 0.5841 | + + +### Framework versions + +- Transformers 4.46.1 +- Pytorch 2.3.0 +- Datasets 3.1.0 +- Tokenizers 0.20.3 diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000..b9b54b9 --- /dev/null +++ b/all_results.json @@ -0,0 +1,12 @@ +{ + "epoch": 2.9944232462577047, + "eval_loss": 0.5840933322906494, + "eval_runtime": 287.6095, + "eval_samples_per_second": 39.894, + "eval_steps_per_second": 0.626, + "total_flos": 2135463108280320.0, + "train_loss": 0.5660238438026578, + "train_runtime": 41769.8593, + "train_samples_per_second": 15.658, + "train_steps_per_second": 0.031 +} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..c3a9daf --- /dev/null +++ b/config.json @@ -0,0 +1,36 @@ +{ + "_name_or_path": "meta-llama/Meta-Llama-3.1-8B", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 128000, + "eos_token_id": 128001, + "head_dim": 128, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 131072, + "mlp_bias": false, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": { + "factor": 8.0, + "high_freq_factor": 4.0, + "low_freq_factor": 1.0, + "original_max_position_embeddings": 8192, + "rope_type": "llama3" + }, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.46.1", + "use_cache": false, + "vocab_size": 128256 +} diff --git a/configs.yaml b/configs.yaml new file mode 100644 index 0000000..496fec0 --- /dev/null +++ b/configs.yaml @@ -0,0 +1,41 @@ +adam_beta1: '0.9' +adam_beta2: '0.999' +bf16: 'True' +cutoff_len: '2048' +dataset: mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-flash +dataset_dir: ONLINE +ddp_timeout: '180000000' +deepspeed: /opt/ml/code/zero3.json +do_train: 'True' +enable_liger_kernel: 'False' +eval_strategy: epoch +finetuning_type: full +formatting: sharegpt +global_batch_size: '512' +gradient_accumulation_steps: '8' +gradient_checkpointing: 'True' +hub_model_id: mlfoundations-dev/oh-dcft-v3.1-gemini-1.5-flash +learning_rate: 5e-06 +logging_steps: '10' +lr_scheduler_type: constant +max_grad_norm: '1' +messages: conversations +model_name_or_path: meta-llama/Meta-Llama-3.1-8B +neat_packing: 'True' +num_train_epochs: '3.0' +output_dir: /opt/ml/model +overwrite_cache: 'True' +overwrite_output_dir: 'True' +packing: 'True' +per_device_train_batch_size: '8' +plot_loss: 'True' +preprocessing_num_workers: '16' +push_to_db: 'True' +push_to_hub: 'True' +report_to: wandb +run_name: oh-dcft-v3.1-gemini-1.5-flash +save_strategy: epoch +stage: sft +template: llama3 +val_size: '0.05' +weight_decay: '0.1' diff --git a/eval_results.json b/eval_results.json new file mode 100644 index 0000000..2329285 --- /dev/null +++ b/eval_results.json @@ -0,0 +1,7 @@ +{ + "epoch": 2.9944232462577047, + "eval_loss": 0.5840933322906494, + "eval_runtime": 287.6095, + "eval_samples_per_second": 39.894, + "eval_steps_per_second": 0.626 +} \ No newline at end of file diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..eab5082 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + 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