---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 49ed9bc4c55f01d46b2c12ab72ec9d62
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 49ed9bc4c55f01d46b2c12ab72ec9d62

This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the contemmcm/cls_mmlu dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0766
- Data Size: 1.0
- Epoch Runtime: 15.4281
- Accuracy: 0.2733
- F1 Macro: 0.2685

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|
| No log        | 0     | 0    | 1.3892          | 0         | 1.0008        | 0.2340   | 0.1558   |
| No log        | 1     | 438  | 1.3942          | 0.0078    | 1.5112        | 0.2527   | 0.1246   |
| No log        | 2     | 876  | 1.3893          | 0.0156    | 1.4385        | 0.2520   | 0.1319   |
| No log        | 3     | 1314 | 1.3910          | 0.0312    | 1.8313        | 0.2540   | 0.1051   |
| No log        | 4     | 1752 | 1.3910          | 0.0625    | 2.3392        | 0.2487   | 0.0996   |
| 0.0777        | 5     | 2190 | 1.3923          | 0.125     | 3.0842        | 0.2706   | 0.1803   |
| 0.1834        | 6     | 2628 | 1.3844          | 0.25      | 5.0158        | 0.2699   | 0.2066   |
| 1.386         | 7     | 3066 | 1.3841          | 0.5       | 8.4317        | 0.2773   | 0.2081   |
| 1.3674        | 8.0   | 3504 | 1.3887          | 1.0       | 15.7729       | 0.2793   | 0.2412   |
| 1.2399        | 9.0   | 3942 | 1.4814          | 1.0       | 15.3051       | 0.2766   | 0.2609   |
| 0.9979        | 10.0  | 4380 | 1.7245          | 1.0       | 15.2724       | 0.2806   | 0.2733   |
| 0.7247        | 11.0  | 4818 | 2.0766          | 1.0       | 15.4281       | 0.2733   | 0.2685   |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.3.0
- Tokenizers 0.22.1