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mistral-7b-32k-billm-finetuned-token-classification
deadcode99/mistral-7b-32k-billm-finetuned-token-classification
mistral-7b-32k-billm-finetuned-token-classification is a machine learning model from deadcode99. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 4, 2024
- Updated
- May 4, 2024
- SHA
- 30d41dec
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. -->
mistral-7b-32k-billm-finetuned-token-classification
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6070
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7473
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: 0.0005
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.9957 | 73 | 1.0053 | 0.0 | 0.0 | 0.0 | 0.7275 |
| No log | 1.9915 | 146 | 0.8578 | 0.0 | 0.0 | 0.0 | 0.7426 |
| No log | 2.9872 | 219 | 0.7958 | 0.0 | 0.0 | 0.0 | 0.7195 |
| No log | 3.9966 | 293 | 0.6437 | 0.0 | 0.0 | 0.0 | 0.7144 |
| No log | 4.9923 | 366 | 0.6283 | 0.0 | 0.0 | 0.0 | 0.7318 |
| No log | 5.9881 | 439 | 0.6543 | 0.0 | 0.0 | 0.0 | 0.7553 |
| 0.9335 | 6.9974 | 513 | 0.6112 | 0.0 | 0.0 | 0.0 | 0.7037 |
| 0.9335 | 7.9932 | 586 | 0.6053 | 0.0 | 0.0 | 0.0 | 0.7373 |
| 0.9335 | 8.9889 | 659 | 0.6208 | 0.0 | 0.0 | 0.0 | 0.7518 |
| 0.9335 | 9.9574 | 730 | 0.6070 | 0.0 | 0.0 | 0.0 | 0.7473 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 4, 2024
- Updated
- May 4, 2024