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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: llama3_cpo_best_entropy
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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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+ # llama3_cpo_best_entropy
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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: 1.7650
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+ - Rewards/chosen: -25.4120
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+ - Rewards/rejected: -32.9268
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+ - Rewards/accuracies: 0.8434
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+ - Rewards/margins: 7.5148
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+ - Logps/rejected: -3.2927
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+ - Logps/chosen: -2.5412
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+ - Logits/rejected: -1.1664
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+ - Logits/chosen: -1.2180
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+ - Semantic Entropy: 0.3711
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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: 9e-07
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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 | Semantic Entropy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:----------------:|
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+ | 1.7533 | 0.8743 | 400 | 1.7650 | -25.4120 | -32.9268 | 0.8434 | 7.5148 | -3.2927 | -2.5412 | -1.1664 | -1.2180 | 0.3711 |
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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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+ {
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+ "epoch": 0.9989071038251366,
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+ "train_runtime": 5989.402,
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+ "train_samples": 58558,
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+ "train_samples_per_second": 9.777,
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+ "train_steps_per_second": 0.076
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "transformers_version": "4.44.2",
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+ "use_cache": false,
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+ "vocab_size": 128256
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+ }
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