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Model: jackf857/llama-3-8b-base-cpo-ultrafeedback-4xH200-batch-128-rerun
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-4xh200-batch-128
+  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-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: 2.0330
+- Rewards/chosen: -2.7266
+- Rewards/rejected: -2.6680
+- Rewards/accuracies: 0.5160
+- Rewards/margins: -0.0586
+- Logps/rejected: -266.8027
+- Logps/chosen: -272.6577
+- Logits/rejected: -0.7176
+- Logits/chosen: -0.7199
+- Nll Loss: 0.9493
+
+## 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 | Nll Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
+| 17.0014       | 0.4188 | 200  | 2.0831          | -2.7051        | -2.5590          | 0.5020             | -0.1461         | -255.9008      | -270.5104    | -0.6742         | -0.6767       | 0.9401   |
+| 16.5359       | 0.8377 | 400  | 2.0330          | -2.7266        | -2.6680          | 0.5160             | -0.0586         | -266.8027      | -272.6577    | -0.7176         | -0.7199       | 0.9493   |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4