---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-7B
tags:
- generated_from_trainer
metrics:
- accuracy
- rouge
model-index:
- name: ca8aebc8d2d06211b9317c1e9d5c74cd
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ca8aebc8d2d06211b9317c1e9d5c74cd

This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the google/boolq dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9882
- Data Size: 1.0
- Epoch Runtime: 734.1698
- Accuracy: 0.6235
- F1 Macro: 0.6163
- Rouge1: 0.6238
- Rouge2: 0.0
- Rougel: 0.6235
- Rougelsum: 0.6238

## 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
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
| No log        | 0     | 0    | 8.0175          | 0         | 20.6655       | 0.5928   | 0.4152   | 0.5928 | 0.0    | 0.5919 | 0.5925    |
| No log        | 1     | 294  | 18.6013         | 0.0078    | 27.0807       | 0.3781   | 0.2751   | 0.3781 | 0.0    | 0.3785 | 0.3781    |
| No log        | 2     | 588  | 12.0732         | 0.0156    | 36.0150       | 0.6072   | 0.4104   | 0.6075 | 0.0    | 0.6068 | 0.6075    |
| No log        | 3     | 882  | 21.2906         | 0.0312    | 57.1575       | 0.6216   | 0.3909   | 0.6216 | 0.0    | 0.6213 | 0.6216    |
| 0.5979        | 4     | 1176 | 4.9192          | 0.0625    | 82.7569       | 0.4038   | 0.3602   | 0.4035 | 0.0    | 0.4038 | 0.4038    |
| 0.2704        | 5     | 1470 | 4.7668          | 0.125     | 121.8431      | 0.5524   | 0.5049   | 0.5522 | 0.0    | 0.5530 | 0.5527    |
| 0.4559        | 6     | 1764 | 3.0337          | 0.25      | 202.6585      | 0.3952   | 0.3242   | 0.3952 | 0.0    | 0.3958 | 0.3955    |
| 2.8035        | 7     | 2058 | 2.7901          | 0.5       | 390.2641      | 0.6213   | 0.3832   | 0.6213 | 0.0    | 0.6207 | 0.6210    |
| 2.7666        | 8.0   | 2352 | 2.6635          | 1.0       | 736.9165      | 0.6213   | 0.3832   | 0.6213 | 0.0    | 0.6207 | 0.6210    |
| 2.7882        | 9.0   | 2646 | 2.6738          | 1.0       | 734.9518      | 0.6213   | 0.3832   | 0.6213 | 0.0    | 0.6207 | 0.6210    |
| 2.4314        | 10.0  | 2940 | 2.7440          | 1.0       | 734.0090      | 0.6492   | 0.4912   | 0.6492 | 0.0    | 0.6486 | 0.6492    |
| 1.596         | 11.0  | 3234 | 2.8961          | 1.0       | 728.1010      | 0.6618   | 0.6328   | 0.6618 | 0.0    | 0.6621 | 0.6615    |
| 0.8903        | 12.0  | 3528 | 3.9882          | 1.0       | 734.1698      | 0.6235   | 0.6163   | 0.6238 | 0.0    | 0.6235 | 0.6238    |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1