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mistral-journal-finetune
pmrster/mistral-journal-finetune
mistral-journal-finetune is a machine learning model from pmrster. 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 24, 2024
- Updated
- May 24, 2024
- SHA
- 8a2c416f
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-journal-finetune
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3365
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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9309 | 2.0833 | 25 | 1.6414 |
| 0.5146 | 4.1667 | 50 | 1.8892 |
| 0.2481 | 6.25 | 75 | 1.9643 |
| 0.1804 | 8.3333 | 100 | 1.9184 |
| 0.1683 | 10.4167 | 125 | 1.9770 |
| 0.1582 | 12.5 | 150 | 2.1538 |
| 0.1591 | 14.5833 | 175 | 2.1592 |
| 0.1509 | 16.6667 | 200 | 2.1474 |
| 0.1478 | 18.75 | 225 | 2.1839 |
| 0.1465 | 20.8333 | 250 | 2.2255 |
| 0.1465 | 22.9167 | 275 | 2.2356 |
| 0.1427 | 25.0 | 300 | 2.2581 |
| 0.144 | 27.0833 | 325 | 2.2707 |
| 0.139 | 29.1667 | 350 | 2.2694 |
| 0.1437 | 31.25 | 375 | 2.2956 |
| 0.141 | 33.3333 | 400 | 2.3087 |
| 0.1359 | 35.4167 | 425 | 2.3056 |
| 0.1385 | 37.5 | 450 | 2.3213 |
| 0.1363 | 39.5833 | 475 | 2.3332 |
| 0.1359 | 41.6667 | 500 | 2.3365 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 24, 2024
- Updated
- May 24, 2024