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--- |
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license: cc-by-nc-4.0 |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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base_model: HuggingFaceTB/SmolLM-360M-Instruct |
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datasets: |
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- generator |
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model-index: |
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- name: smolLM |
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results: [] |
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language: |
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- en |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# smolLM |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM-360M-Instruct) on the generator dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8760 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 256 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 2.2721 | 0.9756 | 10 | 2.1262 | |
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| 2.0927 | 1.9512 | 20 | 2.0278 | |
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| 2.0071 | 2.9268 | 30 | 1.9690 | |
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| 1.9512 | 4.0 | 41 | 1.9282 | |
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| 1.9247 | 4.9756 | 51 | 1.9045 | |
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| 1.9024 | 5.9512 | 61 | 1.8897 | |
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| 1.88 | 6.9268 | 71 | 1.8809 | |
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| 1.8788 | 8.0 | 82 | 1.8767 | |
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| 1.8763 | 8.9756 | 92 | 1.8760 | |
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| 1.8735 | 9.7561 | 100 | 1.8760 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.1.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
