Model save

README.md

@@ -0,0 +1,77 @@
+---
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: allenai/tulu-2-13b
+model-index:
+- name: tulu2-13b-cost-tulumix-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. -->
+
+# tulu2-13b-cost-tulumix-5e-7
+
+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: 0.6918
+- Rewards/chosen: 0.0232
+- Rewards/rejected: 0.0200
+- Rewards/accuracies: 0.5540
+- Rewards/margins: 0.0032
+- Rewards/margins Max: 0.0628
+- Rewards/margins Min: -0.0598
+- Rewards/margins Std: 0.0407
+- Logps/rejected: -313.6658
+- Logps/chosen: -322.6469
+- Logits/rejected: -0.8946
+- Logits/chosen: -1.0169
+
+## 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: 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6624        | 1.0   | 3174 | 0.6918          | 0.0232         | 0.0200           | 0.5540             | 0.0032          | 0.0628              | -0.0598             | 0.0407              | -313.6658      | -322.6469    | -0.8946         | -1.0169       |
+
+
+### 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9a1640ef79d5eae18e58fd96d3ced53f7c6f15a9ec920bc96de7e687cdb02d43
+oid sha256:5477749ab9e3998503151511dc93ebf0f940ee2f38015519a1680b4e17e154b1
 size 1001466944

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.6703614967006065,
+    "train_runtime": 26793.455,
+    "train_samples": 25396,
+    "train_samples_per_second": 0.948,
+    "train_steps_per_second": 0.118
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.6703614967006065,
+    "train_runtime": 26793.455,
+    "train_samples": 25396,
+    "train_samples_per_second": 0.948,
+    "train_steps_per_second": 0.118
+}