Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
Vmake Labs Video Enhancer
HuggingFaceTB / smollm-360M-instruct-add-basics
Model's Last Updated: August 18 2024
text-generation
Introduction of smollm-360M-instruct-add-basics
Model Details of smollm-360M-instruct-add-basics
smollm-350M-instruct-add-basics
This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M on the HuggingFaceTB/Magpie-Pro-300K-Filtered-H4, the HuggingFaceTB/self-oss-instruct-sc2-H4, the HuggingFaceTB/OpenHermes-2.5-H4, the HuggingFaceTB/everyday-topics-MT-conversations-H4 and the HuggingFaceTB/instruct-data-basics-H4 datasets. It achieves the following results on the evaluation set:
- Loss: 1.2039
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8459 | 0.9991 | 817 | 1.2039 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
Runs of HuggingFaceTB smollm-360M-instruct-add-basics on huggingface.co
166
Total runs
10
24-hour runs
1
3-day runs
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7-day runs
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30-day runs
More Information About smollm-360M-instruct-add-basics huggingface.co Model
Url of smollm-360M-instruct-add-basics
smollm-360M-instruct-add-basics huggingface.co Url
Provider of smollm-360M-instruct-add-basics huggingface.co
Other API from HuggingFaceTB
Updated:February 06 2025
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