Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: DUAL-GPO/zephyr-7b-gpo-final-i0
+model-index:
+- name: zephyr-7b-gpo-v6-i1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-7b-gpo-v6-i1
+
+This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-final-i0](https://huggingface.co/DUAL-GPO/zephyr-7b-gpo-final-i0) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2

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all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.0819665433958372,
+    "train_runtime": 16805.1619,
+    "train_samples": 23340,
+    "train_samples_per_second": 1.389,
+    "train_steps_per_second": 0.174
+}

runs/May07_20-31-37_gpu4-119-5/events.out.tfevents.1715078028.gpu4-119-5.3473342.0

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.0819665433958372,
+    "train_runtime": 16805.1619,
+    "train_samples": 23340,
+    "train_samples_per_second": 1.389,
+    "train_steps_per_second": 0.174
+}