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outputs-82
lbruderer/outputs-82
outputs-82 is a machine learning model from lbruderer. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 8, 2024
- Updated
- Mar 9, 2024
- SHA
- 96f5118c
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. -->
outputs-82
This model is a fine-tuned version of google/gemma-2b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7601
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: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7165 | 1.0 | 15 | 1.7252 |
| 1.4588 | 2.0 | 30 | 1.5242 |
| 1.0786 | 3.0 | 45 | 1.5330 |
| 0.7402 | 4.0 | 60 | 1.6618 |
| 0.457 | 5.0 | 75 | 1.8911 |
| 0.2542 | 6.0 | 90 | 2.1658 |
| 0.1315 | 7.0 | 105 | 2.4128 |
| 0.0753 | 8.0 | 120 | 2.5541 |
| 0.0532 | 9.0 | 135 | 2.6873 |
| 0.0406 | 10.0 | 150 | 2.7601 |
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
- other
- Created
- Mar 8, 2024
- Updated
- Mar 9, 2024