9c454e4013
Model: jackf857/llama-3-8b-base-new-dpo-hh-helpful-4xh200-batch-64-q_t-0.5-s_star-0.6 Source: Original Platform
79 lines
2.9 KiB
Markdown
79 lines
2.9 KiB
Markdown
---
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library_name: transformers
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base_model: W-61/llama-3-8b-base-sft-hh-helpful-4xh200
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tags:
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- alignment-handbook
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- new-dpo
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- generated_from_trainer
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datasets:
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- Anthropic/hh-rlhf
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model-index:
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- name: llama-3-8b-base-new-dpo-hh-helpful-4xh200-batch-64-q_t-0.5-s_star-0.6
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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-new-dpo-hh-helpful-4xh200-batch-64-q_t-0.5-s_star-0.6
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.5691
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- Fcm Dpo/beta: 0.0027
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- Margin Dpo/margin Mean: 152.7355
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- Margin Dpo/margin Std: 265.0995
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- Logps/chosen: -436.8470
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- Logps/rejected: -597.3293
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- Logps/ref Chosen: -79.0510
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- Logps/ref Rejected: -86.7979
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- Logits/chosen: -0.5060
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- Logits/rejected: -0.4878
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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: 8
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- eval_batch_size: 8
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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: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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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 | Fcm Dpo/beta | Margin Dpo/margin Mean | Margin Dpo/margin Std | Logps/chosen | Logps/rejected | Logps/ref Chosen | Logps/ref Rejected | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-------------:|:---------------:|
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| 0.9914 | 0.2937 | 200 | 0.6009 | 0.0082 | 45.0159 | 98.4824 | -172.2534 | -225.0162 | -79.0510 | -86.7979 | -0.4719 | -0.4558 |
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| 0.8283 | 0.5874 | 400 | 0.5800 | 0.0028 | 129.9124 | 237.2086 | -410.6362 | -548.2956 | -79.0510 | -86.7979 | -0.4464 | -0.4263 |
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| 0.998 | 0.8811 | 600 | 0.5691 | 0.0027 | 152.7355 | 265.0995 | -436.8470 | -597.3293 | -79.0510 | -86.7979 | -0.5060 | -0.4878 |
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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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