commit 8a84b86e4d12e4be73f6e7f24ead26d0777b276d Author: ModelHub XC Date: Thu Apr 23 23:03:35 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: jackf857/llama-3-8b-base-simpo-8xh200 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 merge=lfs 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a/.ipynb_checkpoints/generation_config-checkpoint.json b/.ipynb_checkpoints/generation_config-checkpoint.json new file mode 100644 index 0000000..76247c9 --- /dev/null +++ b/.ipynb_checkpoints/generation_config-checkpoint.json @@ -0,0 +1,9 @@ +{ + "bos_token_id": 128000, + "do_sample": true, + "eos_token_id": 128001, + "max_length": 4096, + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.51.0" +} diff --git a/README.md b/README.md new file mode 100644 index 0000000..d858a06 --- /dev/null +++ b/README.md @@ -0,0 +1,76 @@ +--- +library_name: transformers +base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200 +tags: +- alignment-handbook +- simpo +- generated_from_trainer +datasets: +- HuggingFaceH4/ultrafeedback_binarized +model-index: +- name: llama-3-8b-base-simpo-8xh200 + results: [] +--- + + + +# llama-3-8b-base-simpo-8xh200 + +This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset. +It achieves the following results on the evaluation set: +- Loss: 1.0269 +- Rewards/chosen: -2.9880 +- Rewards/rejected: -4.0573 +- Rewards/accuracies: 0.7379 +- Rewards/margins: 1.0692 +- Logps/rejected: -2.0286 +- Logps/chosen: -1.4940 +- Logits/rejected: -0.7413 +- Logits/chosen: -0.7546 + +## 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: 6e-07 +- train_batch_size: 8 +- eval_batch_size: 8 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 8 +- gradient_accumulation_steps: 2 +- total_train_batch_size: 128 +- 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: 1 + +### Training results + +| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | +|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| +| 2.1958 | 0.4188 | 200 | 1.0818 | -2.4141 | -3.2133 | 0.6935 | 0.7991 | -1.6066 | -1.2071 | -0.6654 | -0.6648 | +| 2.1186 | 0.8377 | 400 | 1.0269 | -2.9880 | -4.0573 | 0.7379 | 1.0692 | -2.0286 | -1.4940 | -0.7413 | -0.7546 | + + +### Framework versions + +- Transformers 4.51.0 +- Pytorch 2.3.1+cu121 +- Datasets 2.21.0 +- Tokenizers 0.21.4 diff --git a/all_results.json 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