|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: answerdotai/ModernBERT-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
- precision |
|
- recall |
|
model-index: |
|
- name: clapAI/modernBERT-base-multilingual-sentiment |
|
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. --> |
|
|
|
# clapAI/modernBERT-base-multilingual-sentiment |
|
|
|
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4517 |
|
- F1: 0.8012 |
|
- Precision: 0.8020 |
|
- Recall: 0.8007 |
|
|
|
## 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: 512 |
|
- eval_batch_size: 512 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 2048 |
|
- total_eval_batch_size: 1024 |
|
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.01 |
|
- num_epochs: 5.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:| |
|
| 0.9287 | 1.0 | 1537 | 0.4626 | 0.7910 | 0.7940 | 0.7897 | |
|
| 0.8356 | 2.0 | 3074 | 0.4441 | 0.8011 | 0.8009 | 0.8015 | |
|
| 0.7488 | 3.0 | 4611 | 0.4517 | 0.8012 | 0.8020 | 0.8007 | |
|
| 0.6177 | 4.0 | 6148 | 0.4915 | 0.7990 | 0.7989 | 0.7991 | |
|
| 0.5174 | 5.0 | 7685 | 0.5464 | 0.7944 | 0.7945 | 0.7944 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.0.dev0 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|
