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mistral-lyrics-finetune
JediSim/mistral-lyrics-finetune
mistral-lyrics-finetune is a machine learning model from JediSim. 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
- Feb 16, 2024
- Updated
- Feb 16, 2024
- SHA
- 0a711ef3
Base models
Spaces
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-lyrics-finetune
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: 3.9357
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 |
|---|---|---|---|
| 1.8901 | 1.0 | 25 | 2.0092 |
| 1.5447 | 2.0 | 50 | 2.0093 |
| 1.2415 | 3.0 | 75 | 2.1479 |
| 0.8255 | 4.0 | 100 | 2.3764 |
| 0.4885 | 5.0 | 125 | 2.5386 |
| 0.2533 | 6.0 | 150 | 2.7441 |
| 0.1551 | 7.0 | 175 | 2.8726 |
| 0.0971 | 8.0 | 200 | 3.0833 |
| 0.0668 | 9.0 | 225 | 3.2275 |
| 0.047 | 10.0 | 250 | 3.3403 |
| 0.0353 | 11.0 | 275 | 3.3712 |
| 0.0332 | 12.0 | 300 | 3.4045 |
| 0.0256 | 13.0 | 325 | 3.5834 |
| 0.0231 | 14.0 | 350 | 3.5888 |
| 0.0204 | 15.0 | 375 | 3.6828 |
| 0.021 | 16.0 | 400 | 3.7834 |
| 0.0165 | 17.0 | 425 | 3.8463 |
| 0.0162 | 18.0 | 450 | 3.8980 |
| 0.0153 | 19.0 | 475 | 3.9315 |
| 0.0144 | 20.0 | 500 | 3.9357 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Library
- peft
- License
- apache-2.0
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024