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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: alignment-handbook/zephyr-7b-sft-full
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: zephyr-7b-spin-iter0-v0
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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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+ # zephyr-7b-spin-iter0-v0
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+
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2359
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+ - Rewards/real: 1.3255
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+ - Rewards/generated: -0.8966
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+ - Rewards/accuracies: 0.9792
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+ - Rewards/margins: 2.2221
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+ - Logps/generated: -309.8145
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+ - Logps/real: -304.9670
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+ - Logits/generated: -2.7558
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+ - Logits/real: -2.7547
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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: 5e-07
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 2
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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: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 2.0
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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/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
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+ |:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
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+ | 0.3011 | 0.96 | 25 | 0.2442 | 1.1606 | -0.9851 | 0.9792 | 2.1457 | -310.6989 | -306.6157 | -2.7644 | -2.7641 |
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+ | 0.0376 | 1.92 | 50 | 0.2359 | 1.3255 | -0.8966 | 0.9792 | 2.2221 | -309.8145 | -304.9670 | -2.7558 | -2.7547 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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+ "train_samples_per_second": 2.836,
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+ "train_steps_per_second": 0.045
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+ }
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+ "transformers_version": "4.37.0"
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+ "trial_params": null
146
+ }