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-100
+  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-100
+
+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: 0.4997
+- Rewards/chosen: 0.0050
+- Logps/chosen: -17.0744
+- Logits/chosen: -5053702.8571
+- Rewards/rejected: 0.0078
+- Logps/rejected: -23.8299
+- Logits/rejected: -7957526.6667
+- Rewards/margins: -0.0028
+- Kl: 0.0
+
+## 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 |        |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:-------------:|:----------------:|:--------------:|:---------------:|:---------------:|:------:|
+| 0.4944        | 4.4444 | 50   | 0.5018          | -0.0014        | -17.1389     | -5154306.2857 | 0.0189           | -23.7185       | -7920785.3333   | -0.0204         | 0.0758 |
+| 0.4809        | 8.8889 | 100  | 0.4997          | 0.0050         | -17.0744     | -5053702.8571 | 0.0078           | -23.8299       | -7957526.6667   | -0.0028         | 0.0    |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.safetensors

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