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Paper_Imp_Data_Augmented_1
zelalt/Paper_Imp_Data_Augmented_1
Paper_Imp_Data_Augmented_1 is a machine learning model from zelalt. 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
- Jan 10, 2024
- Updated
- Jan 10, 2024
- SHA
- a4aba215
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. -->
Paper_Imp_Data_Augmented_1
This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8094
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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0944 | 0.08 | 30 | 1.6167 |
| 1.5308 | 0.16 | 60 | 1.0254 |
| 0.9718 | 0.23 | 90 | 0.8645 |
| 1.0394 | 0.31 | 120 | 0.8575 |
| 0.9591 | 0.39 | 150 | 0.8520 |
| 0.7642 | 0.47 | 180 | 0.8452 |
| 0.7454 | 0.54 | 210 | 0.8407 |
| 0.7823 | 0.62 | 240 | 0.8461 |
| 0.8669 | 0.7 | 270 | 0.8369 |
| 0.8827 | 0.78 | 300 | 0.8305 |
| 0.7243 | 0.85 | 330 | 0.8267 |
| 0.9427 | 0.93 | 360 | 0.8180 |
| 0.7446 | 1.01 | 390 | 0.8181 |
| 0.6774 | 1.09 | 420 | 0.8248 |
| 0.7981 | 1.16 | 450 | 0.8191 |
| 0.868 | 1.24 | 480 | 0.8147 |
| 0.7947 | 1.32 | 510 | 0.8140 |
| 0.7324 | 1.4 | 540 | 0.8122 |
| 0.8008 | 1.47 | 570 | 0.8114 |
| 0.749 | 1.55 | 600 | 0.8114 |
| 0.8133 | 1.63 | 630 | 0.8113 |
| 0.7606 | 1.71 | 660 | 0.8118 |
| 0.7209 | 1.78 | 690 | 0.8103 |
| 0.7236 | 1.86 | 720 | 0.8096 |
| 0.6766 | 1.94 | 750 | 0.8094 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 10, 2024
- Updated
- Jan 10, 2024