Downloads · 30 days
3
13% of all-time downloads
xlm-roberta-base-finetuned-panx-de-fr
Dmitry2000/xlm-roberta-base-finetuned-panx-de-fr
xlm-roberta-base-finetuned-panx-de-fr is a machine learning model from Dmitry2000. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
23
Public
Parameters
277M
1.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 20, 2024
- Updated
- Oct 26, 2024
- SHA
- c479f3ba
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1580
- F1: 0.8515
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 358 | 0.1741 | 0.8289 |
| 0.2308 | 2.0 | 716 | 0.1565 | 0.8494 |
| 0.2308 | 3.0 | 1074 | 0.1580 | 0.8515 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 20, 2024
- Updated
- Oct 26, 2024