Model save
Browse files- README.md +6 -7
- all_results.json +5 -5
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/Jun22_01-21-37_n136-129-074/events.out.tfevents.1718990517.n136-129-074.300436.0 +2 -2
- train_results.json +5 -5
- trainer_state.json +470 -485
- training_args.bin +2 -2
README.md
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---
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base_model: princeton-nlp/Mistral-7B-Base-SFT-DPO
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tags:
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- trl
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- dpo
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# zephyr-7b-dpo-full
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This model
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## Model description
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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:
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- eval_batch_size:
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- total_eval_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- Transformers 4.39.3
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- Pytorch 2.1.2+cu118
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- Datasets 2.
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- Tokenizers 0.15.2
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---
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tags:
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- trl
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- dpo
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# zephyr-7b-dpo-full
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This model was trained from scratch on the None dataset.
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## Model description
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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: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- Transformers 4.39.3
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- Pytorch 2.1.2+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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all_results.json
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