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-ultrafeedback-old
+  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-ultrafeedback-old
+
+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: 0.5601
+- Rewards/chosen: -0.4096
+- Rewards/rejected: -0.9163
+- Rewards/accuracies: 0.7000
+- Rewards/margins: 0.5067
+- Logps/rejected: -348.5905
+- Logps/chosen: -331.9001
+- Logits/rejected: -1.5161
+- Logits/chosen: -1.5640
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5074        | 0.39  | 3000 | 0.5837          | -0.4893        | -0.8886          | 0.6940             | 0.3993          | -345.8194      | -339.8665    | -1.8683         | -1.8925       |
+| 0.5332        | 0.79  | 6000 | 0.5604          | -0.4169        | -0.9240          | 0.7040             | 0.5071          | -349.3569      | -332.6285    | -1.5156         | -1.5626       |
+
+
+### 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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+{
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+    "eval_logits/rejected": -1.5160561800003052,
+    "eval_logps/chosen": -331.9000549316406,
+    "eval_logps/rejected": -348.5905456542969,
+    "eval_loss": 0.5600629448890686,
+    "eval_rewards/accuracies": 0.699999988079071,
+    "eval_rewards/chosen": -0.40962255001068115,
+    "eval_rewards/margins": 0.5067135691642761,
+    "eval_rewards/rejected": -0.9163362383842468,
+    "eval_runtime": 469.9532,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 4.256,
+    "eval_steps_per_second": 1.064,
+    "train_loss": 0.589801928247341,
+    "train_runtime": 31982.1679,
+    "train_samples": 61135,
+    "train_samples_per_second": 1.912,
+    "train_steps_per_second": 0.239
+}

eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -1.563957691192627,
+    "eval_logits/rejected": -1.5160561800003052,
+    "eval_logps/chosen": -331.9000549316406,
+    "eval_logps/rejected": -348.5905456542969,
+    "eval_loss": 0.5600629448890686,
+    "eval_rewards/accuracies": 0.699999988079071,
+    "eval_rewards/chosen": -0.40962255001068115,
+    "eval_rewards/margins": 0.5067135691642761,
+    "eval_rewards/rejected": -0.9163362383842468,
+    "eval_runtime": 469.9532,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 4.256,
+    "eval_steps_per_second": 1.064
+}

runs/Feb23_07-46-59_586cb8b6da8c/events.out.tfevents.1708674753.586cb8b6da8c.16472.0

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.589801928247341,
+    "train_runtime": 31982.1679,
+    "train_samples": 61135,
+    "train_samples_per_second": 1.912,
+    "train_steps_per_second": 0.239
+}