End of training

README.md

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+---
+base_model: deepseek-ai/deepseek-coder-1.3b-base
+datasets:
+- generator
+library_name: peft
+license: other
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: sft_small
+  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/sft_small)
+# sft_small
+
+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 generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.9430
+
+## 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: 1.41e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.437         | 0.1   | 1    | 3.9886          |
+| 4.2418        | 0.2   | 2    | 3.9798          |
+| 4.3555        | 0.3   | 3    | 3.9724          |
+| 3.1845        | 0.4   | 4    | 3.9651          |
+| 3.0337        | 0.5   | 5    | 3.9591          |
+| 4.6927        | 0.6   | 6    | 3.9539          |
+| 4.5557        | 0.7   | 7    | 3.9497          |
+| 3.9312        | 0.8   | 8    | 3.9464          |
+| 4.0857        | 0.9   | 9    | 3.9441          |
+| 4.1279        | 1.0   | 10   | 3.9430          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.43.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1