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finetuned_xlmroberta_model
danieladeeko/finetuned_xlmroberta_model
finetuned_xlmroberta_model is a machine learning model from danieladeeko. 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. --
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At a glance
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024
- SHA
- a456aa8c
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. -->
finetuned_xlmroberta_model
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0625
- Precision: 0.6892
- Recall: 0.7146
- F1: 0.7017
- Accuracy: 0.9750
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0679 | 1.0 | 2185 | 0.0632 | 0.6915 | 0.7146 | 0.7029 | 0.9740 |
| 0.0555 | 2.0 | 4370 | 0.0625 | 0.6892 | 0.7146 | 0.7017 | 0.9750 |
| 0.0427 | 3.0 | 6555 | 0.0672 | 0.7040 | 0.7300 | 0.7167 | 0.9750 |
| 0.0318 | 4.0 | 8740 | 0.0810 | 0.7097 | 0.7660 | 0.7368 | 0.9743 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- xlm-roberta
- License
- mit
- Created
- Sep 2, 2024
- Updated
- Sep 2, 2024