Model save

README.md

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+---
+license: llama3
+base_model: Magpie-Align/Llama-3-8B-Magpie-Mix-RC
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: Llama-3-8B-Magpie-Mix-RC-UltraDPO-07
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/uw-nsl/huggingface/runs/67yyhon0)
+# Llama-3-8B-Magpie-Mix-RC-UltraDPO-07
+
+This model is a fine-tuned version of [Magpie-Align/Llama-3-8B-Magpie-Mix-RC](https://huggingface.co/Magpie-Align/Llama-3-8B-Magpie-Mix-RC) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3872
+- Rewards/chosen: -4.3693
+- Rewards/rejected: -5.9670
+- Rewards/accuracies: 0.8710
+- Rewards/margins: 1.5976
+- Logps/rejected: -863.7308
+- Logps/chosen: -710.0647
+- Logits/rejected: -1.1495
+- Logits/chosen: -1.1283
+
+## 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: 7e-07
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5813        | 0.2137 | 100  | 0.5238          | -2.6816        | -3.4539          | 0.7298             | 0.7723          | -612.4234      | -541.2933    | -1.1244         | -1.1082       |
+| 0.5021        | 0.4275 | 200  | 0.4483          | -3.4053        | -4.4858          | 0.8024             | 1.0805          | -715.6146      | -613.6641    | -1.1035         | -1.0844       |
+| 0.3802        | 0.6412 | 300  | 0.4069          | -3.7974        | -5.1705          | 0.8427             | 1.3731          | -784.0882      | -652.8716    | -1.1310         | -1.1105       |
+| 0.3827        | 0.8549 | 400  | 0.3872          | -4.3693        | -5.9670          | 0.8710             | 1.5976          | -863.7308      | -710.0647    | -1.1495         | -1.1283       |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9981298423724285,
+    "total_flos": 0.0,
+    "train_loss": 0.4754098514673286,
+    "train_runtime": 9903.4254,
+    "train_samples": 59875,
+    "train_samples_per_second": 6.046,
+    "train_steps_per_second": 0.047
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.42.3"
+}

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