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-judge13b-5e-7
+  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-judge13b-5e-7
+
+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: 0.6929
+- Rewards/chosen: 0.0029
+- Rewards/rejected: 0.0023
+- Rewards/accuracies: 0.5365
+- Rewards/margins: 0.0006
+- Rewards/margins Max: 0.0723
+- Rewards/margins Min: -0.0823
+- Rewards/margins Std: 0.0504
+- Logps/rejected: -318.0156
+- Logps/chosen: -337.8507
+- Logits/rejected: 0.8998
+- Logits/chosen: 0.7298
+
+## 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: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6604        | 1.0   | 1724 | 0.6929          | 0.0029         | 0.0023           | 0.5365             | 0.0006          | 0.0723              | -0.0823             | 0.0504              | -318.0156      | -337.8507    | 0.8998          | 0.7298        |
+
+
+### 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:c9d37b7f49cf1db948fc17f16ad2034f33dc16d524fc3e3b1175b7ec154f38f4
+oid sha256:edd1428a9c9bb12dc0ee98e91ecf5d610e4248acceac026759313da30d3a7e09
 size 639692768

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6676546893927447,
+    "train_runtime": 9120.8228,
+    "train_samples": 27578,
+    "train_samples_per_second": 3.024,
+    "train_steps_per_second": 0.189
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6676546893927447,
+    "train_runtime": 9120.8228,
+    "train_samples": 27578,
+    "train_samples_per_second": 3.024,
+    "train_steps_per_second": 0.189
+}