Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: zephyr-7b-gpo-v1-i0
+  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-v1-i0
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Logits/chosen: -1.9105
+- Logits/rejected: -1.7279
+- Logps/chosen: -271.5140
+- Logps/rejected: -255.4308
+- Loss: 0.0328
+- Rewards/accuracies: 0.6240
+- Rewards/chosen: -0.0807
+- Rewards/margins: 0.0903
+- Rewards/rejected: -0.1710
+
+## 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: 0.5
+
+### Training results
+
+| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
+|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
+| 0.0266        | 0.01  | 100  | -1.9105       | -1.7279         | -271.5140    | -255.4308      | 0.0328          | 0.6240             | -0.0807        | 0.0903          | -0.1710          |
+
+
+### 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": 0.5,
+    "train_loss": 0.019872910955136467,
+    "train_runtime": 29928.2049,
+    "train_samples": 61135,
+    "train_samples_per_second": 1.021,
+    "train_steps_per_second": 0.128
+}

runs/May05_09-33-57_gpu4-119-5/events.out.tfevents.1714865959.gpu4-119-5.1482477.0

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train_results.json

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+{
+    "epoch": 0.5,
+    "train_loss": 0.019872910955136467,
+    "train_runtime": 29928.2049,
+    "train_samples": 61135,
+    "train_samples_per_second": 1.021,
+    "train_steps_per_second": 0.128
+}