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--- |
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license: apache-2.0 |
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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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--- |
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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: 1.8076 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-------:|:----:|:---------------:| |
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| 2.2932 | 0.9524 | 10 | 2.1445 | |
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| 2.105 | 2.0 | 21 | 2.0315 | |
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| 2.017 | 2.9524 | 31 | 1.9665 | |
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| 1.9535 | 4.0 | 42 | 1.9197 | |
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| 1.9104 | 4.9524 | 52 | 1.8906 | |
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| 1.888 | 6.0 | 63 | 1.8669 | |
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| 1.8552 | 6.9524 | 73 | 1.8511 | |
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| 1.8491 | 8.0 | 84 | 1.8384 | |
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| 1.8228 | 8.9524 | 94 | 1.8296 | |
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| 1.8198 | 10.0 | 105 | 1.8224 | |
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| 1.8073 | 10.9524 | 115 | 1.8173 | |
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| 1.7958 | 12.0 | 126 | 1.8131 | |
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| 1.7958 | 12.9524 | 136 | 1.8106 | |
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| 1.792 | 14.0 | 147 | 1.8088 | |
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| 1.7843 | 14.9524 | 157 | 1.8080 | |
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| 1.7873 | 16.0 | 168 | 1.8077 | |
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| 1.7848 | 16.9524 | 178 | 1.8077 | |
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| 1.7837 | 18.0 | 189 | 1.8076 | |
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| 1.7828 | 18.9524 | 199 | 1.8076 | |
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| 1.7827 | 19.0476 | 200 | 1.8076 | |
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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 |
