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-2e-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-2e-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: 0.7594
+- Rewards/chosen: -2.0999
+- Rewards/rejected: -2.4320
+- Rewards/accuracies: 0.5525
+- Rewards/margins: 0.3320
+- Rewards/margins Max: 2.8947
+- Rewards/margins Min: -1.5016
+- Rewards/margins Std: 1.4200
+- Logps/rejected: -562.2834
+- Logps/chosen: -548.3036
+- Logits/rejected: 0.9632
+- Logits/chosen: 0.7759
+
+## 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-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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2338        | 1.0   | 2428 | 0.7594          | -2.0999        | -2.4320          | 0.5525             | 0.3320          | 2.8947              | -1.5016             | 1.4200              | -562.2834      | -548.3036    | 0.9632          | 0.7759        |
+
+
+### 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 sha256:8b251680d922065915bb30acbed18e2b51272304a354fc7e47f4f5c4642bfa95
+oid sha256:88031ad466a65f0f15ac69f86ae1610bc49a9af0b428475a4724e2e4eaf61e87
 size 639692768

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.36623305416185736,
+    "train_runtime": 22442.9766,
+    "train_samples": 38845,
+    "train_samples_per_second": 1.731,
+    "train_steps_per_second": 0.108
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.36623305416185736,
+    "train_runtime": 22442.9766,
+    "train_samples": 38845,
+    "train_samples_per_second": 1.731,
+    "train_steps_per_second": 0.108
+}