Model save

README.md

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+---
+license: other
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+model-index:
+- name: llama3-L1-SFT-L2-KTO
+  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. -->
+
+# llama3-L1-SFT-L2-KTO
+
+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: 0.2122
+- Rewards/chosen: 0.3257
+- Rewards/rejected: -9.5548
+- Rewards/accuracies: 1.0
+- Rewards/margins: 9.8805
+- Logps/rejected: -1018.5145
+- Logps/chosen: -12.0858
+- Logits/rejected: 1.0988
+- Logits/chosen: 0.1932
+
+## 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: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- total_eval_batch_size: 2
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.2129        | 0.4994 | 1000 | 0.2124          | 0.3252         | -9.3514          | 1.0                | 9.6766          | -998.1762      | -12.1315     | 1.1081          | 0.2036        |
+| 0.2118        | 0.9989 | 2000 | 0.2122          | 0.3257         | -9.5548          | 1.0                | 9.8805          | -1018.5145     | -12.0858     | 1.0988          | 0.1932        |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.40.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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all_results.json

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+{
+    "epoch": 0.9998751404669747,
+    "total_flos": 0.0,
+    "train_loss": 0.2449444185841929,
+    "train_runtime": 3711.3289,
+    "train_samples": 16017,
+    "train_samples_per_second": 4.316,
+    "train_steps_per_second": 0.539
+}

runs/May10_01-58-41_612e66badb5c/events.out.tfevents.1715306418.612e66badb5c.51730.0

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train_results.json

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+{
+    "epoch": 0.9998751404669747,
+    "total_flos": 0.0,
+    "train_loss": 0.2449444185841929,
+    "train_runtime": 3711.3289,
+    "train_samples": 16017,
+    "train_samples_per_second": 4.316,
+    "train_steps_per_second": 0.539
+}