commit 3a1e3b3b4b47ec97579db85b8de6b7764402d691 Author: ModelHub XC Date: Fri Apr 24 02:33:38 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: jackf857/llama-3-8b-base-robust-dpo-ultrafeedback-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 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b/README.md new file mode 100644 index 0000000..ba74d1f --- /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 +- robust-dpo +- generated_from_trainer +datasets: +- HuggingFaceH4/ultrafeedback_binarized +model-index: +- name: llama-3-8b-base-robust-dpo-ultrafeedback-8xh200 + results: [] +--- + + + +# llama-3-8b-base-robust-dpo-ultrafeedback-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: 0.3504 +- Rewards/chosen: -0.2669 +- Rewards/rejected: -1.9046 +- Rewards/accuracies: 0.7460 +- Rewards/margins: 1.6376 +- Logps/rejected: -286.3951 +- Logps/chosen: -300.5437 +- Logits/rejected: -0.7660 +- Logits/chosen: -0.7842 + +## 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-07 +- train_batch_size: 4 +- eval_batch_size: 4 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 8 +- gradient_accumulation_steps: 4 +- total_train_batch_size: 128 +- total_eval_batch_size: 32 +- 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 | +|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| +| 1.5682 | 0.4188 | 200 | 0.4018 | -0.2422 | -1.5310 | 0.7540 | 1.2888 | -282.6593 | -300.2964 | -0.7831 | -0.8001 | +| 1.3853 | 0.8377 | 400 | 0.3504 | -0.2669 | -1.9046 | 0.7460 | 1.6376 | -286.3951 | -300.5437 | -0.7660 | -0.7842 | + + +### 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 b/all_results.json new file mode 100644 index 0000000..870a2c2 --- /dev/null +++ b/all_results.json @@ -0,0 +1,22 @@ +{ + "epoch": 0.9989528795811519, + "eval_logits/chosen": -0.790234386920929, + "eval_logits/rejected": -0.7727676630020142, + "eval_logps/chosen": -301.2696838378906, + "eval_logps/rejected": -287.254638671875, + "eval_loss": 0.347857266664505, + "eval_rewards/accuracies": 0.7580645084381104, + 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"num_hidden_layers": 32, + "num_key_value_heads": 8, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 500000.0, + "tie_word_embeddings": false, + "torch_dtype": "float32", + "transformers_version": "4.51.0", + "use_cache": true, + "vocab_size": 128256 +} diff --git a/eval_results.json b/eval_results.json new file mode 100644 index 0000000..222ab45 --- /dev/null +++ b/eval_results.json @@ -0,0 +1,16 @@ +{ + "epoch": 0.9989528795811519, + "eval_logits/chosen": -0.790234386920929, + "eval_logits/rejected": -0.7727676630020142, + "eval_logps/chosen": -301.2696838378906, + "eval_logps/rejected": -287.254638671875, + "eval_loss": 0.347857266664505, + "eval_rewards/accuracies": 0.7580645084381104, + "eval_rewards/chosen": -0.33950960636138916, + "eval_rewards/margins": 1.651003122329712, + "eval_rewards/rejected": -1.990512728691101, + "eval_runtime": 44.5446, + "eval_samples": 2000, + "eval_samples_per_second": 44.899, + "eval_steps_per_second": 1.414 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