Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: alignment-handbook/zephyr-7b-sft-full
+model-index:
+- name: zephyr-7b-dpo-lora-pubmedqa-selfgen-ultrafeedback2
+  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-dpo-lora-pubmedqa-selfgen-ultrafeedback2
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.5869
+- Rewards/chosen: -0.2480
+- Rewards/rejected: -0.5522
+- Rewards/accuracies: 0.7090
+- Rewards/margins: 0.3042
+- Logps/rejected: -306.5199
+- Logps/chosen: -309.5233
+- Logits/rejected: -2.5197
+- Logits/chosen: -2.5501
+
+## 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
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5526        | 0.39  | 3000 | 0.6013          | -0.1508        | -0.4054          | 0.7040             | 0.2546          | -291.8378      | -299.8007    | -2.5651         | -2.5923       |
+| 0.5814        | 0.79  | 6000 | 0.5867          | -0.2418        | -0.5459          | 0.7080             | 0.3040          | -305.8824      | -308.9029    | -2.5202         | -2.5505       |
+
+
+### 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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+    "eval_logits/rejected": -2.519716262817383,
+    "eval_logps/chosen": -309.5232849121094,
+    "eval_logps/rejected": -306.5199279785156,
+    "eval_loss": 0.5869344472885132,
+    "eval_rewards/accuracies": 0.7089999914169312,
+    "eval_rewards/chosen": -0.2480395883321762,
+    "eval_rewards/margins": 0.3042061924934387,
+    "eval_rewards/rejected": -0.5522457957267761,
+    "eval_runtime": 469.9661,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 4.256,
+    "eval_steps_per_second": 1.064,
+    "train_loss": 0.6071469678956156,
+    "train_runtime": 31823.939,
+    "train_samples": 61135,
+    "train_samples_per_second": 1.921,
+    "train_steps_per_second": 0.24
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -2.550062417984009,
+    "eval_logits/rejected": -2.519716262817383,
+    "eval_logps/chosen": -309.5232849121094,
+    "eval_logps/rejected": -306.5199279785156,
+    "eval_loss": 0.5869344472885132,
+    "eval_rewards/accuracies": 0.7089999914169312,
+    "eval_rewards/chosen": -0.2480395883321762,
+    "eval_rewards/margins": 0.3042061924934387,
+    "eval_rewards/rejected": -0.5522457957267761,
+    "eval_runtime": 469.9661,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 4.256,
+    "eval_steps_per_second": 1.064
+}

runs/Feb22_06-18-14_586cb8b6da8c/events.out.tfevents.1708582835.586cb8b6da8c.10523.0

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6071469678956156,
+    "train_runtime": 31823.939,
+    "train_samples": 61135,
+    "train_samples_per_second": 1.921,
+    "train_steps_per_second": 0.24
+}