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TinyLlama-1.1B-Chat-SchemaLinking-v1
lleticiasilvaa/TinyLlama-1.1B-Chat-SchemaLinking-v1
TinyLlama-1.1B-Chat-SchemaLinking-v1 is a machine learning model from lleticiasilvaa. 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
- Oct 7, 2024
- Updated
- Oct 29, 2024
- SHA
- 4ab50d65
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. -->
TinyLlama-1.1B-Chat-SchemaLinking-v1
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0697
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: 1
- eval_batch_size: 1
- seed: 14
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3573 | 0.2334 | 250 | 0.1872 |
| 0.1155 | 0.4668 | 500 | 0.1122 |
| 0.079 | 0.7002 | 750 | 0.0828 |
| 0.0672 | 0.9336 | 1000 | 0.0741 |
| 0.0555 | 1.1670 | 1250 | 0.0720 |
| 0.055 | 1.4004 | 1500 | 0.0701 |
| 0.053 | 1.6338 | 1750 | 0.0681 |
| 0.0526 | 1.8672 | 2000 | 0.0664 |
| 0.047 | 2.1006 | 2250 | 0.0647 |
| 0.0406 | 2.3340 | 2500 | 0.0646 |
| 0.0411 | 2.5674 | 2750 | 0.0620 |
| 0.0352 | 2.8010 | 3000 | 0.0660 |
| 0.0337 | 3.0344 | 3250 | 0.0646 |
| 0.0326 | 3.2678 | 3500 | 0.0633 |
| 0.0323 | 3.5012 | 3750 | 0.0625 |
| 0.0321 | 3.7346 | 4000 | 0.0614 |
| 0.0317 | 3.9680 | 4250 | 0.0616 |
| 0.0271 | 4.2014 | 4500 | 0.0676 |
| 0.0258 | 4.4348 | 4750 | 0.0688 |
| 0.0257 | 4.6682 | 5000 | 0.0678 |
| 0.0227 | 4.9019 | 5250 | 0.0697 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Oct 7, 2024
- Updated
- Oct 29, 2024