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MiniLM_uncased_classification_tools_classifier-only_qlora_fr
AntoineD/MiniLM_uncased_classification_tools_classifier-only_qlora_fr
MiniLM_uncased_classification_tools_classifier-only_qlora_fr is a machine learning model from AntoineD. 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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Public
Updated Nov 10, 2023
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At a glance
- License
- mit
- Access
- Public
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023
- SHA
- de03e4bc
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. -->
MiniLM_uncased_classification_tools_classifier-only_qlora_fr
This model is a fine-tuned version of AntoineD/MiniLM_uncased_classification_tools_classifier-only_fr on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0823
- Accuracy: 0.075
- Learning Rate: 0.0001
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: 0.0001
- train_batch_size: 24
- eval_batch_size: 192
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Rate |
|---|---|---|---|---|---|
| No log | 1.0 | 7 | 2.0789 | 0.15 | 0.0001 |
| No log | 2.0 | 14 | 2.0797 | 0.075 | 0.0001 |
| No log | 3.0 | 21 | 2.0797 | 0.075 | 0.0001 |
| No log | 4.0 | 28 | 2.0803 | 0.075 | 0.0001 |
| No log | 5.0 | 35 | 2.0807 | 0.075 | 0.0001 |
| No log | 6.0 | 42 | 2.0813 | 0.075 | 9e-05 |
| No log | 7.0 | 49 | 2.0819 | 0.075 | 0.0001 |
| No log | 8.0 | 56 | 2.0819 | 0.075 | 0.0001 |
| No log | 9.0 | 63 | 2.0821 | 0.075 | 0.0001 |
| No log | 10.0 | 70 | 2.0824 | 0.075 | 0.0001 |
| No log | 11.0 | 77 | 2.0823 | 0.075 | 0.0001 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
- License
- mit
- Created
- Nov 10, 2023
- Updated
- Nov 10, 2023