6d0881812d
Model: jackf857/llama-3-8b-base-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4 Source: Original Platform
82 lines
3.1 KiB
Markdown
82 lines
3.1 KiB
Markdown
---
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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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- new-dpo
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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-new-dpo-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4
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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-ultrafeedback-4xh200-batch-128-q_t-0.43-s_star-0.4
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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: 0.5983
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- Fcm Dpo/beta: 0.0027
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- Margin Dpo/margin Mean: 105.4011
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- Margin Dpo/margin Std: 182.7466
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- Logps/chosen: -546.8945
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- Logps/rejected: -631.3989
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- Logps/ref Chosen: -287.8268
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- Logps/ref Rejected: -266.9300
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- Kl/chosen Kl Mean: -259.0677
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- Kl/rejected Kl Mean: -364.4689
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- Kl/mean: -311.7683
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- Kl/std: 162.3682
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- Logits/chosen: -0.8539
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- Logits/rejected: -0.8364
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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: 2
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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: 8
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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 | Kl/chosen Kl Mean | Kl/rejected Kl Mean | Kl/mean | Kl/std | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:------------:|:----------------------:|:---------------------:|:------------:|:--------------:|:----------------:|:------------------:|:-----------------:|:-------------------:|:---------:|:--------:|:-------------:|:---------------:|
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| 4.9173 | 0.4188 | 200 | 0.5938 | 0.0054 | 55.2587 | 96.2979 | -406.3043 | -440.6663 | -287.8268 | -266.9300 | -118.4775 | -173.7362 | -146.1068 | 87.6889 | -0.9034 | -0.8850 |
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| 4.8145 | 0.8377 | 400 | 0.5983 | 0.0027 | 105.4011 | 182.7466 | -546.8945 | -631.3989 | -287.8268 | -266.9300 | -259.0677 | -364.4689 | -311.7683 | 162.3682 | -0.8539 | -0.8364 |
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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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