Model save

README.md

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+---
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: allenai/tulu-2-7b
+model-index:
+- name: tulu2-7b-cost-UF-UI-5e-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. -->
+
+# tulu2-7b-cost-UF-UI-5e-6
+
+This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8997
+- Rewards/chosen: -4.7706
+- Rewards/rejected: -5.6615
+- Rewards/accuracies: 0.5878
+- Rewards/margins: 0.8909
+- Rewards/margins Max: 6.0317
+- Rewards/margins Min: -2.9258
+- Rewards/margins Std: 2.9022
+- Logps/rejected: -885.2386
+- Logps/chosen: -815.3665
+- Logits/rejected: 1.3503
+- Logits/chosen: 1.1567
+
+## 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-06
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.0983        | 1.0   | 2428 | 0.8997          | -4.7706        | -5.6615          | 0.5878             | 0.8909          | 6.0317              | -2.9258             | 2.9022              | -885.2386      | -815.3665    | 1.3503          | 1.1567        |
+
+
+### 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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 version https://git-lfs.github.com/spec/v1
-oid sha256:0d02567b5993c43a6798354a64c1562eee4e39b0d9837e7df2ab3ae49bc4c508
+oid sha256:03bfa01180a701766e7ae621e6e472d3d6d2044e9eb599c2e3d551c07e17b0af
 size 639692768

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.19075011757787017,
+    "train_runtime": 22524.5017,
+    "train_samples": 38845,
+    "train_samples_per_second": 1.725,
+    "train_steps_per_second": 0.108
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.19075011757787017,
+    "train_runtime": 22524.5017,
+    "train_samples": 38845,
+    "train_samples_per_second": 1.725,
+    "train_steps_per_second": 0.108
+}