End of training

README.md

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+---
+base_model: deepseek-ai/deepseek-coder-1.3b-base
+tags:
+- trl
+- kto
+- generated_from_trainer
+model-index:
+- name: k1
+  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/stojchets/huggingface/runs/k1)
+# k1
+
+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: 0.1596
+- Eval/rewards/chosen: 2.1581
+- Eval/logps/chosen: -121.0155
+- Eval/rewards/rejected: -14.2694
+- Eval/logps/rejected: -323.7450
+- Eval/rewards/margins: 16.4275
+- Eval/kl: 3.1515
+
+## 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: 0.0001
+- 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: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |        |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0966        | 1.7058 | 100  | 0.1596          | 3.1515 |
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 32013,
+  "eos_token_id": 32014,
+  "transformers_version": "4.43.0.dev0"
+}