Model save

README.md

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+---
+license: llama3.1
+base_model: Magpie-Align/Llama-3.1-8B-Magpie-SFT-650KR
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: Llama-3.1-8B-Magpie-SFT-650KR-Magpo-Armorm-3.1-70B-05
+  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. -->
+
+# Llama-3.1-8B-Magpie-SFT-650KR-Magpo-Armorm-3.1-70B-05
+
+This model is a fine-tuned version of [Magpie-Align/Llama-3.1-8B-Magpie-SFT-650KR](https://huggingface.co/Magpie-Align/Llama-3.1-8B-Magpie-SFT-650KR) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3335
+- Rewards/chosen: -4.8366
+- Rewards/rejected: -7.5394
+- Rewards/accuracies: 0.8880
+- Rewards/margins: 2.7028
+- Logps/rejected: -1104.0730
+- Logps/chosen: -827.6954
+- Logits/rejected: -0.8119
+- Logits/chosen: -0.8042
+
+## 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-07
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5603        | 0.1306 | 100  | 0.5762          | -1.0828        | -1.5526          | 0.7620             | 0.4698          | -505.3885      | -452.3145    | -0.7241         | -0.7285       |
+| 0.5441        | 0.2612 | 200  | 0.4445          | -3.4116        | -5.1002          | 0.8360             | 1.6886          | -860.1481      | -685.1905    | -0.6966         | -0.6964       |
+| 0.3586        | 0.3919 | 300  | 0.3949          | -3.4100        | -5.2798          | 0.8720             | 1.8698          | -878.1118      | -685.0309    | -0.7677         | -0.7653       |
+| 0.3737        | 0.5225 | 400  | 0.3653          | -4.3580        | -6.6737          | 0.8760             | 2.3157          | -1017.5        | -779.8291    | -0.7777         | -0.7711       |
+| 0.2611        | 0.6531 | 500  | 0.3457          | -4.9017        | -7.6712          | 0.8860             | 2.7695          | -1117.2515     | -834.2015    | -0.8137         | -0.8074       |
+| 0.3342        | 0.7837 | 600  | 0.3354          | -4.7041        | -7.3342          | 0.8920             | 2.6301          | -1083.5503     | -814.4402    | -0.8081         | -0.7999       |
+| 0.3251        | 0.9144 | 700  | 0.3335          | -4.8366        | -7.5394          | 0.8880             | 2.7028          | -1104.0730     | -827.6954    | -0.8119         | -0.8042       |
+
+
+### Framework versions
+
+- Transformers 4.43.3
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9992652461425422,
+    "total_flos": 0.0,
+    "train_loss": 0.41019999388775796,
+    "train_runtime": 41758.0505,
+    "train_samples": 97988,
+    "train_samples_per_second": 2.347,
+    "train_steps_per_second": 0.018
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.43.3"
+}

train_results.json

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+{
+    "epoch": 0.9992652461425422,
+    "total_flos": 0.0,
+    "train_loss": 0.41019999388775796,
+    "train_runtime": 41758.0505,
+    "train_samples": 97988,
+    "train_samples_per_second": 2.347,
+    "train_steps_per_second": 0.018
+}