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---
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-multilingual-cased-finetuned-psi-classification-oversampled-gpu
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. -->
# distilbert-base-multilingual-cased-finetuned-psi-classification-oversampled-gpu
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: 0.0669
- Accuracy: 0.9855
- F1: 0.9855
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.402 | 1.0 | 1076 | 0.1036 | 0.9710 | 0.9705 |
| 0.1002 | 2.0 | 2152 | 0.0758 | 0.9779 | 0.9775 |
| 0.0517 | 3.0 | 3228 | 0.0839 | 0.9779 | 0.9780 |
| 0.0363 | 4.0 | 4304 | 0.0718 | 0.9855 | 0.9855 |
| 0.0307 | 5.0 | 5380 | 0.0669 | 0.9855 | 0.9855 |
### Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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