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  1. README.md +74 -0
  2. all_results.json +9 -0
  3. generation_config.json +12 -0
  4. train_results.json +9 -0
  5. trainer_state.json +1423 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: llama3
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ tags:
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+ - trl
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+ - simpo
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+ - generated_from_trainer
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+ model-index:
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+ - name: llama3instruct_-orpo-10-0_5-1e-6-1_best
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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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+ # llama3instruct_-orpo-10-0_5-1e-6-1_best
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.4129
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+ - Rewards/chosen: -11.3049
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+ - Rewards/rejected: -15.3895
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+ - Rewards/accuracies: 0.8133
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+ - Rewards/margins: 4.0846
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+ - Logps/rejected: -1.5389
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+ - Logps/chosen: -1.1305
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+ - Logits/rejected: -1.3507
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+ - Logits/chosen: -1.3829
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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: 2
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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: 4
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 16
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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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+ - 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 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 2.1949 | 0.8743 | 400 | 2.4129 | -11.3049 | -15.3895 | 0.8133 | 4.0846 | -1.5389 | -1.1305 | -1.3507 | -1.3829 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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+ "train_samples": 58558,
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+ "train_samples_per_second": 9.809,
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+ "train_steps_per_second": 0.077
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+ }
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+ {
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+ "transformers_version": "4.44.2"
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+ }
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