commit 5ef03ba3d7a878e61ae78d6eeeb1a797b0d904f4 Author: ModelHub XC Date: Sat May 23 03:01:15 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: jackf857/llama-3-8b-base-ipo-ultrafeedback-4xh200-batch-128-rerun 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 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a/README.md b/README.md new file mode 100644 index 0000000..ac6862b --- /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 +- ipo +- generated_from_trainer +datasets: +- HuggingFaceH4/ultrafeedback_binarized +model-index: +- name: llama-3-8b-base-ipo-ultrafeedback-4xh200-batch-128 + results: [] +--- + + + +# llama-3-8b-base-ipo-ultrafeedback-4xh200-batch-128 + +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: 2344.3516 +- Rewards/chosen: -0.0325 +- Rewards/rejected: -0.0526 +- Rewards/accuracies: 0.6880 +- Rewards/margins: 0.0202 +- Logps/rejected: -6.5599 +- Logps/chosen: -4.3618 +- Logits/rejected: -0.4831 +- Logits/chosen: -0.4853 + +## 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: 4 +- gradient_accumulation_steps: 8 +- total_train_batch_size: 128 +- total_eval_batch_size: 16 +- 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 | +|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| +| 19287.1 | 0.4188 | 200 | 2426.4592 | -0.0183 | -0.0264 | 0.6280 | 0.0081 | -3.9353 | -2.9447 | -0.6160 | -0.6205 | +| 18745.8219 | 0.8377 | 400 | 2344.3516 | -0.0325 | -0.0526 | 0.6880 | 0.0202 | -6.5599 | -4.3618 | -0.4831 | -0.4853 | + + +### 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..0cb9e7b --- /dev/null +++ b/all_results.json @@ -0,0 +1,22 @@ +{ + "epoch": 0.9989528795811519, + "eval_logits/chosen": -0.46801021695137024, + "eval_logits/rejected": -0.46652573347091675, + "eval_logps/chosen": -4.461421012878418, + "eval_logps/rejected": -6.7237443923950195, + "eval_loss": 2342.1025390625, + "eval_rewards/accuracies": 0.6880000233650208, + 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32, + "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..86f9b2c --- /dev/null +++ b/eval_results.json @@ -0,0 +1,16 @@ +{ + "epoch": 0.9989528795811519, + "eval_logits/chosen": -0.46801021695137024, + "eval_logits/rejected": -0.46652573347091675, + "eval_logps/chosen": -4.461421012878418, + "eval_logps/rejected": -6.7237443923950195, + "eval_loss": 2342.1025390625, + "eval_rewards/accuracies": 0.6880000233650208, + "eval_rewards/chosen": -0.033448584377765656, + "eval_rewards/margins": 0.020814577117562294, + "eval_rewards/rejected": -0.0542631670832634, + "eval_runtime": 79.0392, + "eval_samples": 2000, + "eval_samples_per_second": 25.304, + 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