78 lines
2.6 KiB
Markdown
78 lines
2.6 KiB
Markdown
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---
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library_name: transformers
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base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
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tags:
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- alignment-handbook
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- cpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: llama-3-8b-base-cpo-ultrafeedback-4xh200-batch-128
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama-3-8b-base-cpo-ultrafeedback-4xh200-batch-128
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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.
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It achieves the following results on the evaluation set:
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- Loss: 2.0330
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- Rewards/chosen: -2.7266
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- Rewards/rejected: -2.6680
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- Rewards/accuracies: 0.5160
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- Rewards/margins: -0.0586
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- Logps/rejected: -266.8027
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- Logps/chosen: -272.6577
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- Logits/rejected: -0.7176
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- Logits/chosen: -0.7199
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- Nll Loss: 0.9493
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|
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| 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 |
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| 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 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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