Model save

README.md

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+---
+library_name: peft
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+tags:
+- trl
+- kto
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: Llama-3.1-8B-Instruct-KTO-200
+  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-3.1-8B-Instruct-KTO-200
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4178
+- Rewards/chosen: 0.0409
+- Logps/chosen: -18.0110
+- Logits/chosen: -5352758.4
+- Rewards/rejected: -0.9102
+- Logps/rejected: -31.7024
+- Logits/rejected: -8100233.0667
+- Rewards/margins: 0.9511
+- Kl: 0.9340
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Logits/chosen | Rewards/rejected | Logps/rejected | Logits/rejected | Rewards/margins |        |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:-------------:|:----------------:|:--------------:|:---------------:|:---------------:|:------:|
+| 0.4954        | 2.2222 | 50   | 0.4960          | 0.0262         | -18.1577     | -6157739.52   | -0.0022          | -22.6226       | -8250512.0      | 0.0285          | 0.8099 |
+| 0.4457        | 4.4444 | 100  | 0.4627          | 0.0628         | -17.7918     | -5773483.52   | -0.3038          | -25.6385       | -8211033.6      | 0.3666          | 1.5104 |
+| 0.3734        | 6.6667 | 150  | 0.4264          | 0.0610         | -17.8096     | -5435994.88   | -0.7496          | -30.0960       | -8134988.8      | 0.8106          | 1.2779 |
+| 0.3749        | 8.8889 | 200  | 0.4178          | 0.0409         | -18.0110     | -5352758.4    | -0.9102          | -31.7024       | -8100233.0667   | 0.9511          | 0.9340 |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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