Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: openbmb/Eurus-7b-sft
+model-index:
+- name: eurus-7b-cost-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. -->
+
+# eurus-7b-cost-UI-5e-7
+
+This model is a fine-tuned version of [openbmb/Eurus-7b-sft](https://huggingface.co/openbmb/Eurus-7b-sft) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6940
+- Rewards/chosen: -0.7885
+- Rewards/rejected: -0.8474
+- Rewards/accuracies: 0.5380
+- Rewards/margins: 0.0589
+- Rewards/margins Max: 0.7289
+- Rewards/margins Min: -0.5646
+- Rewards/margins Std: 0.4226
+- Logps/rejected: -347.4267
+- Logps/chosen: -352.6256
+- Logits/rejected: -2.1189
+- Logits/chosen: -2.2153
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.1653        | 1.0   | 1648 | 0.6940          | -0.7885        | -0.8474          | 0.5380             | 0.0589          | 0.7289              | -0.5646             | 0.4226              | -347.4267      | -352.6256    | -2.1189         | -2.2153       |
+
+
+### 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:c7b88e47badb6f85e9157d81bb8c4ea7cef8fa333caf3e9c366b333b793b4830
+oid sha256:1844f16410cbd1bb1b246ea539f091da3e04967975c78a9603940333ac13fa6f
 size 671150064

all_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.33046212517520757,
+    "train_runtime": 17297.4072,
+    "train_samples": 26378,
+    "train_samples_per_second": 1.525,
+    "train_steps_per_second": 0.095
+}

train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.33046212517520757,
+    "train_runtime": 17297.4072,
+    "train_samples": 26378,
+    "train_samples_per_second": 1.525,
+    "train_steps_per_second": 0.095
+}