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mistral-7b-32k-billm-finetuned-token-classification-segmentwise
deadcode99/mistral-7b-32k-billm-finetuned-token-classification-segmentwise
mistral-7b-32k-billm-finetuned-token-classification-segmentwise 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 7, 2024
- Updated
- May 8, 2024
- SHA
- d6140d93
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-segmentwise
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: 0.4998
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7829
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: 0.001
- 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 | 0.9784 | 34 | 0.9557 | 0.0 | 0.0 | 0.0 | 0.7596 |
| No log | 1.9856 | 69 | 0.7691 | 0.0 | 0.0 | 0.0 | 0.7707 |
| No log | 2.9928 | 104 | 0.7086 | 0.0 | 0.0 | 0.0 | 0.7794 |
| No log | 4.0 | 139 | 0.5693 | 0.0 | 0.0 | 0.0 | 0.7697 |
| No log | 4.9784 | 173 | 0.5449 | 0.0 | 0.0 | 0.0 | 0.7758 |
| No log | 5.9856 | 208 | 0.5168 | 0.0 | 0.0 | 0.0 | 0.7805 |
| No log | 6.9928 | 243 | 0.5379 | 0.0 | 0.0 | 0.0 | 0.7838 |
| No log | 8.0 | 278 | 0.5301 | 0.0 | 0.0 | 0.0 | 0.7847 |
| No log | 8.9784 | 312 | 0.5007 | 0.0 | 0.0 | 0.0 | 0.7829 |
| No log | 9.7842 | 340 | 0.4998 | 0.0 | 0.0 | 0.0 | 0.7829 |
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 7, 2024
- Updated
- May 8, 2024