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: Temp-L1-SFT-L2-DPO
+  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. -->
+
+# Temp-L1-SFT-L2-DPO
+
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0028
+- Rewards/chosen: -0.3437
+- Rewards/rejected: -7.0807
+- Rewards/accuracies: 1.0
+- Rewards/margins: 6.7370
+- Logps/rejected: -752.9371
+- Logps/chosen: -60.2789
+- Logits/rejected: -2.7330
+- Logits/chosen: -2.6142
+
+## 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
+- gradient_accumulation_steps: 2
+- total_train_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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.0046        | 0.25  | 1000 | 0.0116          | -0.7603        | -5.8063          | 1.0                | 5.0459          | -625.4973      | -101.9450    | -2.6955         | -2.5854       |
+| 0.0037        | 0.5   | 2000 | 0.0037          | -0.2218        | -6.4841          | 1.0                | 6.2624          | -693.2846      | -48.0898     | -2.7333         | -2.6137       |
+| 0.0039        | 0.75  | 3000 | 0.0028          | -0.3670        | -7.1056          | 1.0                | 6.7386          | -755.4296      | -62.6133     | -2.7342         | -2.6152       |
+| 0.0019        | 1.0   | 4000 | 0.0028          | -0.3437        | -7.0807          | 1.0                | 6.7370          | -752.9371      | -60.2789     | -2.7330         | -2.6142       |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.04242442899794605,
+    "train_runtime": 8772.4234,
+    "train_samples": 16017,
+    "train_samples_per_second": 1.826,
+    "train_steps_per_second": 0.456
+}

runs/May01_17-45-27_612e66badb5c/events.out.tfevents.1714585627.612e66badb5c.20786.0

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.04242442899794605,
+    "train_runtime": 8772.4234,
+    "train_samples": 16017,
+    "train_samples_per_second": 1.826,
+    "train_steps_per_second": 0.456
+}