File size: 2,076 Bytes
3b4e0c8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | ---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
model-index:
- name: classifier-databases-labels
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. -->
# classifier-databases-labels
This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2850
- F1 Micro: 0.3761
- Roc Auc Micro: 0.8351
- Accuracy (exact Match): 0.1790
## 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: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | Roc Auc Micro | Accuracy (exact Match) |
|:-------------:|:-----:|:------:|:---------------:|:--------:|:-------------:|:----------------------:|
| 0.3072 | 1.0 | 32380 | 0.2860 | 0.2210 | 0.8192 | 0.1126 |
| 0.2752 | 2.0 | 64760 | 0.2797 | 0.2845 | 0.8311 | 0.1378 |
| 0.2649 | 3.0 | 97140 | 0.2799 | 0.3545 | 0.8355 | 0.1741 |
| 0.2519 | 4.0 | 129520 | 0.2850 | 0.3761 | 0.8351 | 0.1790 |
### Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu126
- Datasets 3.4.1
- Tokenizers 0.21.1
|