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ldcc-finetuning
breathemm/ldcc-finetuning
ldcc-finetuning is a machine learning model from breathemm. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Mar 6, 2024
- Updated
- Mar 11, 2024
- SHA
- cff3e35d
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. -->
LDCC-finetuning
This model is a fine-tuned version of LDCC/LDCC-SOLAR-10.7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6884
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7581 | 1.0 | 21 | 0.7133 |
| 0.612 | 2.0 | 42 | 0.6810 |
| 0.4944 | 3.0 | 63 | 0.6884 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- cc-by-nc-4.0
- Created
- Mar 6, 2024
- Updated
- Mar 11, 2024