End of training

README.md

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+---
+library_name: peft
+license: other
+base_model: deepseek-ai/deepseek-coder-1.3b-base
+tags:
+- trl
+- kto
+- generated_from_trainer
+model-index:
+- name: kto4
+  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. -->
+
+# kto4
+
+This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Eval/rewards/chosen: 0.0
+- Eval/logps/chosen: 0.0
+- Eval/rewards/rejected: 0.0
+- Eval/logps/rejected: 0.0
+- Eval/rewards/margins: 0.0
+- Eval/kl: nan
+
+## 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: 0.1
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |     |
+|:-------------:|:------:|:----:|:---------------:|:---:|
+| 0.4759        | 1.1552 | 100  | 0.5000          | 0.0 |
+| 0.5018        | 2.3105 | 200  | 0.5000          | 0.0 |
+| 4.6568        | 3.4657 | 300  | nan             | nan |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.45.0
+- Pytorch 2.5.1+cu124
+- Datasets 2.19.2
+- Tokenizers 0.20.3