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README.md ADDED
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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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+ - trl
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+ - dpo
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+ - generated_from_trainer
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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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+
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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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+
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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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+
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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 None dataset.
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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+ "train_steps_per_second": 0.123
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