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Model: jackf857/llama-3-8b-base-new-dpo-hh-helpful-s_star1.0-4xh200-batch-64-20260421-233802 Source: Original Platform
2026-05-30 03:50:21 +08:00
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+---
+library_name: transformers
+base_model: W-61/llama-3-8b-base-sft-hh-helpful-4xh200
+tags:
+- alignment-handbook
+- new-dpo
+- generated_from_trainer
+datasets:
+- Anthropic/hh-rlhf
+model-index:
+- name: llama-3-8b-base-new-dpo-hh-helpful-s_star1.0-4xh200-batch-64-20260421-233802
+  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. -->
+
+# llama-3-8b-base-new-dpo-hh-helpful-s_star1.0-4xh200-batch-64-20260421-233802
+
+This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-hh-helpful-4xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-hh-helpful-4xh200) on the Anthropic/hh-rlhf dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4980
+- Fcm Dpo/beta: 0.0078
+- Fcm Dpo/q T: 0.3364
+- Fcm Dpo/delta: 0.0593
+- Fcm Dpo/margin: 120.6791
+- Margin Dpo/margin Mean: 120.6791
+- Margin Dpo/margin Std: 173.7378
+- Logps/chosen: -446.5822
+- Logps/rejected: -575.0082
+- Logps/ref Chosen: -79.0510
+- Logps/ref Rejected: -86.7979
+- Logits/chosen: 0.1581
+- Logits/rejected: 0.1793
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- 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 | Fcm Dpo/beta | Fcm Dpo/q T | Fcm Dpo/delta | Fcm Dpo/margin | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
+|:-------------:|:------:|:----:|:---------------:|:------------:|:-----------:|:-------------:|:--------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
+| 0.8238        | 0.2937 | 200  | 0.5818          | 0.0270       | 0.3663      | 0.0598        | 34.2048        | 34.2048                | 64.2965               | -136.1259    | -178.0776      | -79.0510         | -86.7979           | -0.5095       | -0.4883         |
+| 0.767         | 0.5874 | 400  | 0.5232          | 0.0099       | 0.3436      | 0.0761        | 94.0497        | 94.0496                | 145.6569              | -305.7622    | -407.5587      | -79.0510         | -86.7979           | 0.0068        | 0.0285          |
+| 0.8367        | 0.8811 | 600  | 0.4980          | 0.0078       | 0.3364      | 0.0593        | 120.6791       | 120.6791               | 173.7378              | -446.5822    | -575.0082      | -79.0510         | -86.7979           | 0.1581        | 0.1793          |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4