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--- |
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license: other |
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base_model: deepseek-ai/deepseek-llm-7b-chat |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- self-generate/ds_chat_original_cn_mining_oj_iter0-binarized |
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- self-generate/ds_chat_original_cn_rl_oj_iter0-binarized |
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model-index: |
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- name: ds_chat_sppo_hard_new_iter0_2024-09-17-14.35 |
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://ml.byteintl.net/experiment/tracking/detail?Id=project_20240915_20321b8f&selectedTrial=run_20240918_0b17b41a) |
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# ds_chat_sppo_hard_new_iter0_2024-09-17-14.35 |
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This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat) on the self-generate/ds_chat_original_cn_mining_oj_iter0-binarized and the self-generate/ds_chat_original_cn_rl_oj_iter0-binarized datasets. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4365 |
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- Rewards/chosen: 0.0466 |
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- Rewards/rejected: -0.0388 |
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- Rewards/accuracies: 0.5769 |
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- Rewards/margins: 0.0854 |
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- Logps/rejected: -287.4509 |
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- Logps/chosen: -250.6894 |
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- Logits/rejected: 1.4344 |
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- Logits/chosen: 1.2252 |
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- Debug/policy Chosen Logits: 1.2252 |
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- Debug/policy Rejected Logits: 1.4344 |
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- Debug/policy Chosen Logps: -250.6894 |
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- Debug/policy Rejected Logps: -287.4509 |
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- Debug/reference Chosen Logps: -255.3497 |
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- Debug/reference Rejected Logps: -283.5705 |
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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: 1e-06 |
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- train_batch_size: 8 |
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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: 8 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 1.0 |
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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 | Debug/policy Chosen Logits | Debug/policy Rejected Logits | Debug/policy Chosen Logps | Debug/policy Rejected Logps | Debug/reference Chosen Logps | Debug/reference Rejected Logps | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------------------------:|:----------------------------:|:-------------------------:|:---------------------------:|:----------------------------:|:------------------------------:| |
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| 0.4429 | 0.6329 | 100 | 0.4365 | 0.0466 | -0.0388 | 0.5769 | 0.0854 | -287.4509 | -250.6894 | 1.4344 | 1.2252 | 1.2252 | 1.4344 | -250.6894 | -287.4509 | -255.3497 | -283.5705 | |
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### Framework versions |
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- Transformers 4.42.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.19.1 |
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