---
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
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# 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