File size: 2,158 Bytes
6d07876 | 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 66 67 68 69 70 71 72 73 | ---
library_name: transformers
license: apache-2.0
base_model: nickprock/setfit-italian-hate-speech
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: MultiPRIDE-DualEncoder-LPFT-it
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. -->
# MultiPRIDE-DualEncoder-LPFT-it
This model is a fine-tuned version of [nickprock/setfit-italian-hate-speech](https://huggingface.co/nickprock/setfit-italian-hate-speech) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0215
- Accuracy: 0.9202
- F1: 0.8060
- Precision: 0.75
- Recall: 0.8710
## 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: 67
- 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: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.1723 | 1.0 | 95 | 0.1277 | 0.8037 | 0.5556 | 0.4878 | 0.6452 |
| 0.1278 | 2.0 | 190 | 0.0812 | 0.9325 | 0.8 | 0.9167 | 0.7097 |
| 0.0705 | 3.0 | 285 | 0.0408 | 0.9571 | 0.8889 | 0.875 | 0.9032 |
| 0.0463 | 4.0 | 380 | 0.0261 | 0.9509 | 0.8788 | 0.8286 | 0.9355 |
| 0.0329 | 5.0 | 475 | 0.0216 | 0.9325 | 0.8406 | 0.7632 | 0.9355 |
| 0.0237 | 6.0 | 570 | 0.0215 | 0.9202 | 0.8060 | 0.75 | 0.8710 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
|