| --- |
| license: apache-2.0 |
| base_model: HuggingFaceTB/SmolLM-360M |
| tags: |
| - alignment-handbook |
| - trl |
| - sft |
| - generated_from_trainer |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - HuggingFaceTB/Magpie-Pro-300K-Filtered-H4 |
| - HuggingFaceTB/self-oss-instruct-sc2-H4 |
| - HuggingFaceTB/OpenHermes-2.5-H4 |
| - HuggingFaceTB/everyday-topics-MT-conversations-H4 |
| - HuggingFaceTB/instruct-data-basics-H4 |
| model-index: |
| - name: smollm-350M-instruct-add-basics-eq |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/loubnabnl/huggingface/runs/srs340ij) |
| # smollm-350M-instruct-add-basics-eq |
|
|
| This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M](https://huggingface.co/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: 1.3908 |
|
|
| ## 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: 2 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.1777 | 1.0 | 10 | 1.4109 | |
| | 0.9295 | 2.0 | 20 | 1.3908 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.42.3 |
| - Pytorch 2.1.2 |
| - Datasets 2.20.0 |
| - Tokenizers 0.19.1 |
| |
