Downloads · 30 days
5
21% of all-time downloads
tuned_XLM_RLarge_after_big
QooBao/tuned_XLM_RLarge_after_big
tuned_XLM_RLarge_after_big is a machine learning model from QooBao. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
All-time downloads
24
Public
Parameters
559M
4.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 9, 2024
- SHA
- 4baa7421
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. -->
tuned_XLM_RLarge_after_big
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9037
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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9717 | 1.0 | 594 | 1.5020 |
| 1.4463 | 2.0 | 1188 | 1.1359 |
| 1.1579 | 3.0 | 1782 | 0.9597 |
| 0.9028 | 4.0 | 2376 | 0.9048 |
| 0.6887 | 5.0 | 2970 | 0.9037 |
| 0.3302 | 6.0 | 3564 | 0.9316 |
| 0.2495 | 7.0 | 4158 | 1.0809 |
| 0.1665 | 8.0 | 4752 | 1.1974 |
| 0.1223 | 9.0 | 5346 | 1.3164 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- xlm-roberta
- Created
- Aug 6, 2024
- Updated
- Aug 9, 2024