Model save

README.md

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+---
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: allenai/tulu-2-13b
+model-index:
+- name: tulu2-13b-cost-tulumix-1e-6
+  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. -->
+
+# tulu2-13b-cost-tulumix-1e-6
+
+This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6891
+- Rewards/chosen: 0.0068
+- Rewards/rejected: -0.0036
+- Rewards/accuracies: 0.5570
+- Rewards/margins: 0.0103
+- Rewards/margins Max: 0.1265
+- Rewards/margins Min: -0.1089
+- Rewards/margins Std: 0.0783
+- Logps/rejected: -316.0208
+- Logps/chosen: -324.2853
+- Logits/rejected: -0.9127
+- Logits/chosen: -1.0350
+
+## 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: 1e-06
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- 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 | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6183        | 1.0   | 3174 | 0.6891          | 0.0068         | -0.0036          | 0.5570             | 0.0103          | 0.1265              | -0.1089             | 0.0783              | -316.0208      | -324.2853    | -0.9127         | -1.0350       |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2

adapter_model.safetensors

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+oid sha256:6086cf05c49855c3ace78fab213e780c6fef5241b187d543da189d66e8959c8a
 size 1001466944

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6393037238208168,
+    "train_runtime": 24580.6168,
+    "train_samples": 25396,
+    "train_samples_per_second": 1.033,
+    "train_steps_per_second": 0.129
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6393037238208168,
+    "train_runtime": 24580.6168,
+    "train_samples": 25396,
+    "train_samples_per_second": 1.033,
+    "train_steps_per_second": 0.129
+}