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fmel-ft
Keano95/fmel-ft
fmel-ft is a machine learning model from Keano95. 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 16, 2024
- Updated
- May 16, 2024
- SHA
- 4a7c8df2
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. -->
fmel-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9580
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4274 | 1.0 | 1 | 1.9580 |
| 0.4274 | 2.0 | 2 | 1.9580 |
| 0.4274 | 3.0 | 3 | 1.9580 |
| 0.4274 | 4.0 | 4 | 1.9580 |
| 0.4274 | 5.0 | 5 | 1.9580 |
| 0.4274 | 6.0 | 6 | 1.9580 |
| 0.4274 | 7.0 | 7 | 1.9580 |
| 0.4274 | 8.0 | 8 | 1.9580 |
| 0.4274 | 9.0 | 9 | 1.9580 |
| 0.4274 | 10.0 | 10 | 1.9580 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.4.0.dev20240515+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- May 16, 2024
- Updated
- May 16, 2024