End of training

README.md

@@ -1,3 +1,76 @@
----
-license: unknown
----
+---
+library_name: transformers
+license: mit
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
+tags:
+- generated_from_trainer
+model-index:
+- name: MyModel2
+  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. -->
+
+# MyModel2
+
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1089
+
+## 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-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9498        | 0.2693 | 500  | 0.6119          |
+| 0.6245        | 0.5385 | 1000 | 0.5831          |
+| 0.5931        | 0.8078 | 1500 | 0.5462          |
+| 0.561         | 1.0770 | 2000 | 0.5148          |
+| 0.5312        | 1.3463 | 2500 | 0.4750          |
+| 0.523         | 1.6155 | 3000 | 0.4421          |
+| 0.5121        | 1.8848 | 3500 | 0.4096          |
+| 0.4059        | 2.1540 | 4000 | 0.3263          |
+| 0.3559        | 2.4233 | 4500 | 0.2780          |
+| 0.3409        | 2.6925 | 5000 | 0.2367          |
+| 0.3352        | 2.9618 | 5500 | 0.1973          |
+| 0.1918        | 3.2310 | 6000 | 0.1652          |
+| 0.1826        | 3.5003 | 6500 | 0.1507          |
+| 0.1762        | 3.7695 | 7000 | 0.1360          |
+| 0.168         | 4.0388 | 7500 | 0.1232          |
+| 0.1186        | 4.3080 | 8000 | 0.1193          |
+| 0.1227        | 4.5773 | 8500 | 0.1134          |
+| 0.1273        | 4.8465 | 9000 | 0.1089          |
+
+
+### Framework versions
+
+- Transformers 4.48.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 151646,
+  "do_sample": true,
+  "eos_token_id": 151643,
+  "temperature": 0.6,
+  "top_p": 0.95,
+  "transformers_version": "4.48.2"
+}