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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: smollm2-lora-hrz1ceio-1742335328 |
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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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# smollm2-lora-hrz1ceio-1742335328 |
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-1.7B-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.4598 |
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- Perplexity: 11.7017 |
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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: 5e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.01 |
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- num_epochs: 50 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Perplexity | |
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|:-------------:|:-----:|:----:|:---------------:|:----------:| |
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| 3.8247 | 1.48 | 10 | 3.8893 | 48.8773 | |
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| 3.7821 | 2.96 | 20 | 3.8282 | 45.9783 | |
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| 3.7187 | 4.32 | 30 | 3.7582 | 42.8707 | |
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| 3.6627 | 5.8 | 40 | 3.6850 | 39.8460 | |
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| 3.5609 | 7.16 | 50 | 3.6080 | 36.8919 | |
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| 3.4883 | 8.64 | 60 | 3.5351 | 34.2986 | |
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| 3.3997 | 10.0 | 70 | 3.4620 | 31.8798 | |
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| 3.3753 | 11.48 | 80 | 3.3897 | 29.6568 | |
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| 3.249 | 12.96 | 90 | 3.3187 | 27.6251 | |
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| 3.2619 | 14.32 | 100 | 3.2492 | 25.7684 | |
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| 3.1184 | 15.8 | 110 | 3.1800 | 24.0468 | |
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| 3.0852 | 17.16 | 120 | 3.1133 | 22.4950 | |
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| 2.9999 | 18.64 | 130 | 3.0489 | 21.0926 | |
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| 2.9315 | 20.0 | 140 | 2.9865 | 19.8159 | |
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| 2.848 | 21.48 | 150 | 2.9260 | 18.6519 | |
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| 2.8046 | 22.96 | 160 | 2.8679 | 17.6005 | |
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| 2.7379 | 24.32 | 170 | 2.8153 | 16.6979 | |
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| 2.704 | 25.8 | 180 | 2.7637 | 15.8585 | |
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| 2.6349 | 27.16 | 190 | 2.7168 | 15.1316 | |
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| 2.5972 | 28.64 | 200 | 2.6749 | 14.5109 | |
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| 2.5585 | 30.0 | 210 | 2.6327 | 13.9107 | |
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| 2.5502 | 31.48 | 220 | 2.5979 | 13.4359 | |
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| 2.5166 | 32.96 | 230 | 2.5670 | 13.0264 | |
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| 2.4733 | 34.32 | 240 | 2.5395 | 12.6737 | |
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| 2.4502 | 35.8 | 250 | 2.5152 | 12.3691 | |
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| 2.4268 | 37.16 | 260 | 2.4965 | 12.1393 | |
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| 2.365 | 38.64 | 270 | 2.4808 | 11.9507 | |
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| 2.4208 | 40.0 | 280 | 2.4707 | 11.8304 | |
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| 2.3818 | 41.48 | 290 | 2.4623 | 11.7311 | |
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| 2.391 | 42.96 | 300 | 2.4598 | 11.7017 | |
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### Framework versions |
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- PEFT 0.14.0 |
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- Transformers 4.48.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.4.1 |
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- Tokenizers 0.21.1 |
