Model save

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-Coder-3B
+tags:
+- generated_from_trainer
+model-index:
+- name: qwen2.5_coder_3b_probgate_schema_aware_only_answerable_delimeters_eos
+  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. -->
+
+# qwen2.5_coder_3b_probgate_schema_aware_only_answerable_delimeters_eos
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0351
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Use 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| No log        | 0     | 0     | 1.1622          |
+| 0.0297        | 1.0   | 4674  | 0.0367          |
+| 0.0201        | 2.0   | 9348  | 0.0336          |
+| 0.0153        | 3.0   | 14022 | 0.0351          |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.7.1+cu126
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.48.0"
+}

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