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SriRamanatest
SriRamanaYash/SriRamanatest
SriRamanatest is a machine learning model from SriRamanaYash. 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
- Mar 17, 2024
- Updated
- May 5, 2024
- SHA
- 3b69d6d3
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. -->
SriRamanatest
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: 0.0380
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2972 | 0.8333 | 5 | 1.7842 |
| 1.3054 | 1.6667 | 10 | 0.8661 |
| 0.5323 | 2.5 | 15 | 0.5894 |
| 0.15 | 3.3333 | 20 | 0.2590 |
| 0.0304 | 4.1667 | 25 | 0.0949 |
| 0.046 | 5.0 | 30 | 0.0380 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Mar 17, 2024
- Updated
- May 5, 2024