Model save

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: Magpie-Align/Llama-3.1-8B-Magpie-SFT-GMix-550K
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: Llama-3.1-8B-Magpie-SFT-GMix-550K-DPO-02Mix
+  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-GMix-550K-DPO-02Mix
+
+This model is a fine-tuned version of [Magpie-Align/Llama-3.1-8B-Magpie-SFT-GMix-550K](https://huggingface.co/Magpie-Align/Llama-3.1-8B-Magpie-SFT-GMix-550K) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3867
+- Rewards/chosen: -5.1502
+- Rewards/rejected: -6.8793
+- Rewards/accuracies: 0.8080
+- Rewards/margins: 1.7291
+- Logps/rejected: -1153.0979
+- Logps/chosen: -988.9237
+- Logits/rejected: -0.6120
+- Logits/chosen: -0.6722
+
+## 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: 2e-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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.686         | 0.0653 | 100  | 0.6856          | -0.0491        | -0.0616          | 0.6480             | 0.0125          | -471.3315      | -478.8181    | -0.7034         | -0.7427       |
+| 0.6218        | 0.1306 | 200  | 0.6277          | -0.6128        | -0.7720          | 0.6960             | 0.1591          | -542.3653      | -535.1920    | -0.7771         | -0.8125       |
+| 0.5705        | 0.1959 | 300  | 0.5545          | -2.4738        | -3.0052          | 0.7270             | 0.5314          | -765.6894      | -721.2881    | -0.7894         | -0.8230       |
+| 0.4606        | 0.2612 | 400  | 0.5081          | -2.6780        | -3.3782          | 0.7560             | 0.7002          | -802.9893      | -741.7116    | -0.6813         | -0.7247       |
+| 0.4314        | 0.3266 | 500  | 0.4787          | -3.6697        | -4.6026          | 0.7630             | 0.9329          | -925.4283      | -840.8740    | -0.6189         | -0.6691       |
+| 0.449         | 0.3919 | 600  | 0.4533          | -3.7414        | -4.8019          | 0.7820             | 1.0604          | -945.3563      | -848.0514    | -0.6157         | -0.6681       |
+| 0.4538        | 0.4572 | 700  | 0.4350          | -4.3858        | -5.6549          | 0.7890             | 1.2690          | -1030.6561     | -912.4920    | -0.5789         | -0.6331       |
+| 0.35          | 0.5225 | 800  | 0.4186          | -4.7129        | -6.1662          | 0.8010             | 1.4533          | -1081.7843     | -945.1964    | -0.5778         | -0.6347       |
+| 0.4153        | 0.5878 | 900  | 0.4108          | -4.9836        | -6.5320          | 0.7970             | 1.5484          | -1118.3677     | -972.2631    | -0.5895         | -0.6474       |
+| 0.3935        | 0.6531 | 1000 | 0.3999          | -4.4303        | -5.9370          | 0.8110             | 1.5067          | -1058.8646     | -916.9379    | -0.6016         | -0.6598       |
+| 0.3205        | 0.7184 | 1100 | 0.3950          | -5.1884        | -6.8827          | 0.8010             | 1.6943          | -1153.4371     | -992.7452    | -0.5846         | -0.6452       |
+| 0.3612        | 0.7837 | 1200 | 0.3901          | -5.0426        | -6.7179          | 0.8040             | 1.6753          | -1136.9619     | -978.1701    | -0.6046         | -0.6637       |
+| 0.3058        | 0.8490 | 1300 | 0.3877          | -5.1224        | -6.8428          | 0.8040             | 1.7204          | -1149.4465     | -986.1475    | -0.6087         | -0.6690       |
+| 0.3467        | 0.9144 | 1400 | 0.3871          | -5.2335        | -6.9809          | 0.8090             | 1.7474          | -1163.2629     | -997.2610    | -0.6071         | -0.6672       |
+| 0.3197        | 0.9797 | 1500 | 0.3867          | -5.1502        | -6.8793          | 0.8080             | 1.7291          | -1153.0979     | -988.9237    | -0.6120         | -0.6722       |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.9999183606825047,
+    "total_flos": 0.0,
+    "train_loss": 0.46421666473520107,
+    "train_runtime": 86694.5826,
+    "train_samples": 195977,
+    "train_samples_per_second": 2.261,
+    "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": "4.44.2"
+}

train_results.json

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+{
+    "epoch": 0.9999183606825047,
+    "total_flos": 0.0,
+    "train_loss": 0.46421666473520107,
+    "train_runtime": 86694.5826,
+    "train_samples": 195977,
+    "train_samples_per_second": 2.261,
+    "train_steps_per_second": 0.018
+}