Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: Mistral-7B-Instruct-v0.2-multilingual-dpo-v1.0-v2
+  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. -->
+
+# Mistral-7B-Instruct-v0.2-multilingual-dpo-v1.0-v2
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1328
+- Rewards/chosen: -2.7014
+- Rewards/rejected: -12.3976
+- Rewards/accuracies: 0.9383
+- Rewards/margins: 9.6962
+- Logps/rejected: -1531.6849
+- Logps/chosen: -609.8344
+- Logits/rejected: 0.5002
+- Logits/chosen: 0.3026
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 24
+- total_eval_batch_size: 12
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2695        | 0.1361 | 500  | 0.2653          | -0.4399        | -4.5379          | 0.8680             | 4.0981          | -745.7153      | -383.6803    | -1.3998         | -1.5327       |
+| 0.4349        | 0.2723 | 1000 | 0.3152          | -2.6018        | -7.1212          | 0.8515             | 4.5195          | -1004.0471     | -599.8698    | 4.1724          | 4.7868        |
+| 0.531         | 0.4084 | 1500 | 0.4873          | -2.4253        | -8.0681          | 0.7855             | 5.6428          | -1098.7278     | -582.2241    | -1.5195         | -1.6538       |
+| 0.1681        | 0.5446 | 2000 | 0.2003          | -3.9555        | -13.1169         | 0.9089             | 9.1613          | -1603.6106     | -735.2488    | -0.1888         | -0.3742       |
+| 0.1778        | 0.6807 | 2500 | 0.2004          | -3.4745        | -11.9768         | 0.9242             | 8.5023          | -1489.6012     | -687.1464    | -0.7118         | -0.9608       |
+| 0.1342        | 0.8169 | 3000 | 0.1452          | -3.0928        | -12.8477         | 0.9340             | 9.7549          | -1576.6960     | -648.9738    | 0.6727          | 0.5428        |
+| 0.1252        | 0.9530 | 3500 | 0.1328          | -2.7014        | -12.3976         | 0.9383             | 9.6962          | -1531.6849     | -609.8344    | 0.5002          | 0.3026        |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_model.safetensors

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 version https://git-lfs.github.com/spec/v1
-oid sha256:25dfdbc004a1ce10e3143608179364a9f6dbb9f049ba74f91c028475d106dc7c
+oid sha256:c2afac8cf6c538dd6eefd4d61b5b934d84561eda7ca8d7d5fc1d30b679391c1d
 size 83946192

all_results.json

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+{
+    "epoch": 0.9998638529611981,
+    "total_flos": 0.0,
+    "train_loss": 0.32278433931516665,
+    "train_runtime": 141933.118,
+    "train_samples": 88140,
+    "train_samples_per_second": 0.621,
+    "train_steps_per_second": 0.026
+}

train_results.json

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+{
+    "epoch": 0.9998638529611981,
+    "total_flos": 0.0,
+    "train_loss": 0.32278433931516665,
+    "train_runtime": 141933.118,
+    "train_samples": 88140,
+    "train_samples_per_second": 0.621,
+    "train_steps_per_second": 0.026
+}