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Model: jackf857/llama-3-8b-base-cpo-ultrafeedback-8xh200
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
+tags:
+- alignment-handbook
+- cpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: llama-3-8b-base-cpo-ultrafeedback-8xh200
+  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-cpo-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: 5.6625
+- Rewards/chosen: -36.8871
+- Rewards/rejected: -38.7328
+- Rewards/accuracies: 0.625
+- Rewards/margins: 1.8457
+- Logps/rejected: -387.3283
+- Logps/chosen: -368.8713
+- Logits/rejected: -0.7502
+- Logits/chosen: -0.7660
+- Nll Loss: 1.3492
+
+## 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 | Nll Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
+| 27.4789       | 0.4188 | 200  | 6.6576          | -34.2403       | -34.9452         | 0.5766             | 0.7050          | -349.4524      | -342.4026    | -0.7404         | -0.7582       | 1.2307   |
+| 23.6103       | 0.8377 | 400  | 5.6625          | -36.8871       | -38.7328         | 0.625              | 1.8457          | -387.3283      | -368.8713    | -0.7502         | -0.7660       | 1.3492   |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4