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Mistral-7B-v0_1_cola_sp0_ar0
thrunlab/Mistral-7B-v0_1_cola_sp0_ar0
Mistral-7B-v0_1_cola_sp0_ar0 is a text classification model from thrunlab. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Dec 18, 2023
- Updated
- Jan 4, 2024
- SHA
- a15be908
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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. -->
Mistral-7B-v0_1_cola_sp0_ar0
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3526
- Accuracy: 0.8773
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: 1e-05
- train_batch_size: 48
- eval_batch_size: 80
- seed: 1
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 192
- total_eval_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 750
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8621 | 1.23 | 50 | 0.8680 | 0.6261 |
| 0.6235 | 2.47 | 100 | 0.5236 | 0.7651 |
| 0.2987 | 3.7 | 150 | 0.4271 | 0.8121 |
| 0.3941 | 4.94 | 200 | 0.3921 | 0.8265 |
| 0.3579 | 6.17 | 250 | 0.3769 | 0.8293 |
| 0.2617 | 7.41 | 300 | 0.3744 | 0.8360 |
| 0.3043 | 8.64 | 350 | 0.3863 | 0.8360 |
| 0.2354 | 9.88 | 400 | 0.3478 | 0.8581 |
| 0.1854 | 11.11 | 450 | 0.3686 | 0.8437 |
| 0.1896 | 12.35 | 500 | 0.3892 | 0.8543 |
| 0.1561 | 13.58 | 550 | 0.4256 | 0.8504 |
| 0.1448 | 14.81 | 600 | 0.4322 | 0.8437 |
| 0.0355 | 16.05 | 650 | 0.5269 | 0.8351 |
| 0.0256 | 17.28 | 700 | 0.5536 | 0.8476 |
| 0.0549 | 18.52 | 750 | 0.6612 | 0.8485 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Dec 18, 2023
- Updated
- Jan 4, 2024