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smollm2-lora-hrz1ceio-1742335328
Swephoenix/smollm2-lora-hrz1ceio-1742335328
smollm2-lora-hrz1ceio-1742335328 is a machine learning model from Swephoenix. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Mar 18, 2025
- Updated
- Mar 18, 2025
- SHA
- ac4ed624
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
smollm2-lora-hrz1ceio-1742335328
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-1.7B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4598
- Perplexity: 11.7017
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Perplexity |
|---|---|---|---|---|
| 3.8247 | 1.48 | 10 | 3.8893 | 48.8773 |
| 3.7821 | 2.96 | 20 | 3.8282 | 45.9783 |
| 3.7187 | 4.32 | 30 | 3.7582 | 42.8707 |
| 3.6627 | 5.8 | 40 | 3.6850 | 39.8460 |
| 3.5609 | 7.16 | 50 | 3.6080 | 36.8919 |
| 3.4883 | 8.64 | 60 | 3.5351 | 34.2986 |
| 3.3997 | 10.0 | 70 | 3.4620 | 31.8798 |
| 3.3753 | 11.48 | 80 | 3.3897 | 29.6568 |
| 3.249 | 12.96 | 90 | 3.3187 | 27.6251 |
| 3.2619 | 14.32 | 100 | 3.2492 | 25.7684 |
| 3.1184 | 15.8 | 110 | 3.1800 | 24.0468 |
| 3.0852 | 17.16 | 120 | 3.1133 | 22.4950 |
| 2.9999 | 18.64 | 130 | 3.0489 | 21.0926 |
| 2.9315 | 20.0 | 140 | 2.9865 | 19.8159 |
| 2.848 | 21.48 | 150 | 2.9260 | 18.6519 |
| 2.8046 | 22.96 | 160 | 2.8679 | 17.6005 |
| 2.7379 | 24.32 | 170 | 2.8153 | 16.6979 |
| 2.704 | 25.8 | 180 | 2.7637 | 15.8585 |
| 2.6349 | 27.16 | 190 | 2.7168 | 15.1316 |
| 2.5972 | 28.64 | 200 | 2.6749 | 14.5109 |
| 2.5585 | 30.0 | 210 | 2.6327 | 13.9107 |
| 2.5502 | 31.48 | 220 | 2.5979 | 13.4359 |
| 2.5166 | 32.96 | 230 | 2.5670 | 13.0264 |
| 2.4733 | 34.32 | 240 | 2.5395 | 12.6737 |
| 2.4502 | 35.8 | 250 | 2.5152 | 12.3691 |
| 2.4268 | 37.16 | 260 | 2.4965 | 12.1393 |
| 2.365 | 38.64 | 270 | 2.4808 | 11.9507 |
| 2.4208 | 40.0 | 280 | 2.4707 | 11.8304 |
| 2.3818 | 41.48 | 290 | 2.4623 | 11.7311 |
| 2.391 | 42.96 | 300 | 2.4598 | 11.7017 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.2
- Pytorch 2.1.0+cu118
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- peft
- License
- apache-2.0
- Created
- Mar 18, 2025
- Updated
- Mar 18, 2025