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xlm-roberta-qlora-finetuned
sharjeel103/xlm-roberta-qlora-finetuned
xlm-roberta-qlora-finetuned is a machine learning model from sharjeel103. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024
- SHA
- 475cde54
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-qlora-finetuned
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: 3.2168
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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 3.1426 |
| No log | 2.0 | 6 | 3.1473 |
| No log | 3.0 | 9 | 3.1535 |
| No log | 4.0 | 12 | 3.1582 |
| No log | 5.0 | 15 | 3.1633 |
| No log | 6.0 | 18 | 3.1676 |
| No log | 7.0 | 21 | 3.1727 |
| No log | 8.0 | 24 | 3.1766 |
| No log | 9.0 | 27 | 3.1809 |
| No log | 10.0 | 30 | 3.1840 |
| No log | 11.0 | 33 | 3.1871 |
| No log | 12.0 | 36 | 3.1902 |
| No log | 13.0 | 39 | 3.1930 |
| No log | 14.0 | 42 | 3.1957 |
| No log | 15.0 | 45 | 3.1973 |
| No log | 16.0 | 48 | 3.1996 |
| No log | 17.0 | 51 | 3.2023 |
| No log | 18.0 | 54 | 3.2047 |
| No log | 19.0 | 57 | 3.2070 |
| No log | 20.0 | 60 | 3.2094 |
| No log | 21.0 | 63 | 3.2102 |
| No log | 22.0 | 66 | 3.2121 |
| No log | 23.0 | 69 | 3.2129 |
| No log | 24.0 | 72 | 3.2141 |
| No log | 25.0 | 75 | 3.2145 |
| No log | 26.0 | 78 | 3.2160 |
| No log | 27.0 | 81 | 3.2160 |
| No log | 28.0 | 84 | 3.2168 |
| No log | 29.0 | 87 | 3.2168 |
| No log | 30.0 | 90 | 3.2168 |
Framework versions
- PEFT 0.13.2
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Oct 24, 2024
- Updated
- Oct 24, 2024