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pali-captioning-lm-sweep
chaley22/pali-captioning-lm-sweep
pali-captioning-lm-sweep is a machine learning model from chaley22. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gemma
- Access
- Public
- Created
- Sep 24, 2024
- Updated
- Sep 26, 2024
- SHA
- 4d5b21f3
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. -->
pali-captioning-lm-sweep
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9665
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 70804
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 10.3383 |
| 1.9493 | 0.0040 | 10000 | 3.4608 |
| 1.8267 | 0.0081 | 20000 | 3.3065 |
| 1.6539 | 0.0121 | 30000 | 3.2140 |
| 1.6238 | 0.0162 | 40000 | 3.1555 |
| 1.5725 | 0.0202 | 50000 | 3.0853 |
| 1.4285 | 0.0242 | 60000 | 3.0110 |
| 1.4442 | 0.0283 | 70000 | 2.9665 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
- Type
- gemma
- Created
- Sep 24, 2024
- Updated
- Sep 26, 2024