Model save

README.md

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+---
+license: llama3
+library_name: peft
+tags:
+- trl
+- orpo
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+model-index:
+- name: llama-3-orpo-qlora
+  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. -->
+
+# llama-3-orpo-qlora
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0581
+- Rewards/chosen: -0.0823
+- Rewards/rejected: -0.2496
+- Rewards/accuracies: 0.7879
+- Rewards/margins: 0.1673
+- Logps/rejected: -2.4958
+- Logps/chosen: -0.8230
+- Logits/rejected: -1.0347
+- Logits/chosen: -0.9355
+- Nll Loss: 1.0625
+- Log Odds Ratio: -0.3947
+- Log Odds Chosen: 2.1017
+
+## 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: 77
+- distributed_type: multi-GPU
+- num_devices: 3
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 24
+- total_eval_batch_size: 6
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 30
+- num_epochs: 5
+
+### 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
+| 1.2408        | 0.9998 | 1639 | 1.1078          | -0.0850        | -0.1592          | 0.7045             | 0.0742          | -1.5920        | -0.8498      | -0.9217         | -0.9313       | 1.1014   | -0.4987        | 1.0714          |
+| 1.2158        | 1.9997 | 3278 | 1.0768          | -0.0818        | -0.1961          | 0.7273             | 0.1143          | -1.9613        | -0.8183      | -0.7536         | -0.7772       | 1.0726   | -0.4562        | 1.5271          |
+| 1.0891        | 2.9995 | 4917 | 1.0654          | -0.0820        | -0.2184          | 0.7197             | 0.1365          | -2.1845        | -0.8200      | -0.9358         | -0.8876       | 1.0648   | -0.4458        | 1.7377          |
+| 1.0521        | 3.9994 | 6556 | 1.0605          | -0.0824        | -0.2405          | 0.7727             | 0.1581          | -2.4049        | -0.8244      | -0.9998         | -0.8917       | 1.0630   | -0.4060        | 1.9929          |
+| 1.0763        | 4.9992 | 8195 | 1.0581          | -0.0823        | -0.2496          | 0.7879             | 0.1673          | -2.4958        | -0.8230      | -1.0347         | -0.9355       | 1.0625   | -0.3947        | 2.1017          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.1
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
+  "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",
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "down_proj",
+    "gate_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c774b944348671f42c68c1d38f8daa3666f6e03c0705e52740021e1948d2a1ae
+size 2269211544

all_results.json

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+{
+    "epoch": 4.999237456153729,
+    "total_flos": 0.0,
+    "train_loss": 1.1049469483633314,
+    "train_runtime": 586416.3764,
+    "train_samples": 39339,
+    "train_samples_per_second": 0.335,
+    "train_steps_per_second": 0.014
+}

train_results.json

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+{
+    "epoch": 4.999237456153729,
+    "total_flos": 0.0,
+    "train_loss": 1.1049469483633314,
+    "train_runtime": 586416.3764,
+    "train_samples": 39339,
+    "train_samples_per_second": 0.335,
+    "train_steps_per_second": 0.014
+}