---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: damage_trigger_effect_2024-11-06_13_00
  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. -->

# damage_trigger_effect_2024-11-06_13_00

This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5939

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 34   | 0.6901          |
| No log        | 2.0   | 68   | 0.5241          |
| No log        | 3.0   | 102  | 0.4540          |
| No log        | 4.0   | 136  | 0.4661          |
| No log        | 5.0   | 170  | 0.4877          |
| No log        | 6.0   | 204  | 0.4716          |
| No log        | 7.0   | 238  | 0.4778          |
| No log        | 8.0   | 272  | 0.5008          |
| No log        | 9.0   | 306  | 0.5195          |
| No log        | 10.0  | 340  | 0.5669          |
| No log        | 11.0  | 374  | 0.5807          |
| No log        | 12.0  | 408  | 0.5776          |
| No log        | 13.0  | 442  | 0.5938          |
| No log        | 14.0  | 476  | 0.5854          |
| 0.2729        | 15.0  | 510  | 0.5939          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3