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-3-70B-Instruct
+model-index:
+- name: Meta-Llama-3-70B-Instruct
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/statking/huggingface/runs/f61fvw8u)
+# Meta-Llama-3-70B-Instruct
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2884
+- Rewards/chosen: -0.0888
+- Rewards/rejected: -0.1138
+- Rewards/accuracies: 0.6132
+- Rewards/margins: 0.0250
+- Logps/rejected: -1.1382
+- Logps/chosen: -0.8884
+- Logits/rejected: -0.0033
+- Logits/chosen: 0.2012
+- Nll Loss: 1.2075
+- Log Odds Ratio: -0.6278
+- Log Odds Chosen: 0.3768
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- 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 | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
+| 1.2483        | 0.9999 | 3555 | 1.2884          | -0.0888        | -0.1138          | 0.6132             | 0.0250          | -1.1382        | -0.8884      | -0.0033         | 0.2012        | 1.2075   | -0.6278        | 0.3768          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.0
+- Pytorch 2.2.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.safetensors

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 size 4410006192

all_results.json

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+{
+    "epoch": 0.9999296814570002,
+    "total_flos": 0.0,
+    "train_loss": 1.4252014341233652,
+    "train_runtime": 102484.8577,
+    "train_samples": 56881,
+    "train_samples_per_second": 0.555,
+    "train_steps_per_second": 0.035
+}

train_results.json

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+{
+    "epoch": 0.9999296814570002,
+    "total_flos": 0.0,
+    "train_loss": 1.4252014341233652,
+    "train_runtime": 102484.8577,
+    "train_samples": 56881,
+    "train_samples_per_second": 0.555,
+    "train_steps_per_second": 0.035
+}