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-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-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: 0.6930
+- Rewards/chosen: 0.0111
+- Rewards/rejected: 0.0080
+- Rewards/accuracies: 0.5405
+- Rewards/margins: 0.0031
+- Rewards/margins Max: 0.0923
+- Rewards/margins Min: -0.0946
+- Rewards/margins Std: 0.0609
+- Logps/rejected: -318.2894
+- Logps/chosen: -337.2036
+- Logits/rejected: 0.9251
+- Logits/chosen: 0.7522
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6467        | 1.0   | 2428 | 0.6930          | 0.0111         | 0.0080           | 0.5405             | 0.0031          | 0.0923              | -0.0946             | 0.0609              | -318.2894      | -337.2036    | 0.9251          | 0.7522        |
+
+
+### 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 sha256:5adfc3417198e9e7c5cce47696b01439416acc671246de98d87e959c3e8491a9
+oid sha256:e377ee0c70ffca1dd8c4c287d5e85e473005eb84f81ae70449d6575607a68026
 size 639692768

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6580819256812384,
+    "train_runtime": 22471.0097,
+    "train_samples": 38845,
+    "train_samples_per_second": 1.729,
+    "train_steps_per_second": 0.108
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6580819256812384,
+    "train_runtime": 22471.0097,
+    "train_samples": 38845,
+    "train_samples_per_second": 1.729,
+    "train_steps_per_second": 0.108
+}