Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- orpo
+- generated_from_trainer
+base_model: microsoft/Phi-3-mini-4k-instruct
+model-index:
+- name: orpo-phi3
+  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. -->
+
+# orpo-phi3
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2224
+- Rewards/chosen: -0.1152
+- Rewards/rejected: -0.1838
+- Rewards/accuracies: 1.0
+- Rewards/margins: 0.0685
+- Logps/rejected: -1.8375
+- Logps/chosen: -1.1521
+- Logits/rejected: -1.5266
+- Logits/chosen: -0.4575
+- Nll Loss: 1.1880
+- Log Odds Ratio: -0.3436
+- Log Odds Chosen: 0.8917
+
+## 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: 8e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
+| 4.0204        | 0.24  | 3    | 1.2224          | -0.1152        | -0.1838          | 1.0                | 0.0685          | -1.8375        | -1.1521      | -1.5266         | -0.4575       | 1.1880   | -0.3436        | 0.8917          |
+| 2.2028        | 0.48  | 6    | 1.2224          | -0.1152        | -0.1838          | 1.0                | 0.0685          | -1.8375        | -1.1521      | -1.5266         | -0.4575       | 1.1880   | -0.3436        | 0.8917          |
+| 4.7852        | 0.72  | 9    | 1.2224          | -0.1152        | -0.1838          | 1.0                | 0.0685          | -1.8375        | -1.1521      | -1.5266         | -0.4575       | 1.1880   | -0.3436        | 0.8917          |
+| 3.1295        | 0.96  | 12   | 1.2224          | -0.1152        | -0.1838          | 1.0                | 0.0685          | -1.8375        | -1.1521      | -1.5266         | -0.4575       | 1.1880   | -0.3436        | 0.8917          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "down_proj",
+    "qkv_proj",
+    "gate_up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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runs/Jun02_11-00-43_9240f5fc1f9c/events.out.tfevents.1717326045.9240f5fc1f9c.1935.0

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special_tokens_map.json

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tokenizer_config.json

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+}

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