Model save

README.md

@@ -0,0 +1,77 @@
+---
+license: llama2
+library_name: peft
+tags:
+- trl
+- dpo
+- llama-factory
+- generated_from_trainer
+base_model: lmsys/vicuna-7b-v1.5
+model-index:
+- name: Vicuna-7B-v1.5-ORPO-SALT
+  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. -->
+
+# Vicuna-7B-v1.5-ORPO-SALT
+
+This model is a fine-tuned version of [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9497
+- Rewards/chosen: -0.0879
+- Rewards/rejected: -0.0995
+- Rewards/accuracies: 0.5164
+- Rewards/margins: 0.0116
+- Logps/rejected: -0.9948
+- Logps/chosen: -0.8787
+- Logits/rejected: -0.3581
+- Logits/chosen: -0.3775
+- Sft Loss: 0.8787
+- Odds Ratio Loss: 0.7104
+
+## 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-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
+| 1.0008        | 0.8082 | 500  | 0.9777          | -0.0907        | -0.1019          | 0.5055             | 0.0113          | -1.0193        | -0.9066      | -0.3689         | -0.3878       | 0.9066   | 0.7105          |
+| 0.8458        | 1.6165 | 1000 | 0.9560          | -0.0885        | -0.1000          | 0.5191             | 0.0115          | -1.0000        | -0.8850      | -0.3578         | -0.3772       | 0.8850   | 0.7097          |
+| 0.9219        | 2.4247 | 1500 | 0.9497          | -0.0879        | -0.0995          | 0.5164             | 0.0116          | -0.9948        | -0.8787      | -0.3581         | -0.3775       | 0.8787   | 0.7104          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.1
+- Pytorch 2.3.0
+- Datasets 2.19.0
+- Tokenizers 0.19.1

trainer_log.jsonl

@@ -151,3 +151,39 @@
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