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workspace
Geohunterr/workspace
workspace is a machine learning model from Geohunterr. 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 gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Jun 13, 2024
- Updated
- Jun 14, 2024
- SHA
- 8a6f862c
Base models
Datasets
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. -->
workspace
This model is a fine-tuned version of google/paligemma-3b-pt-224 on the ecgt_vision dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3557 | 0.9961 | 129 | 0.0054 |
| 0.0039 | 2.0 | 259 | 0.0015 |
| 0.0008 | 2.9961 | 388 | 0.0011 |
| 0.0003 | 4.0 | 518 | 0.0010 |
| 0.0002 | 4.9807 | 645 | 0.0009 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.0.1+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Jun 13, 2024
- Updated
- Jun 14, 2024