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SmolLM_1_7B_Instruct_qlora_nf4-plaba-sequential-adapter
dmariko/SmolLM_1_7B_Instruct_qlora_nf4-plaba-sequential-adapter
SmolLM_1_7B_Instruct_qlora_nf4-plaba-sequential-adapter is a machine learning model from dmariko. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Sep 4, 2024
- Updated
- Sep 12, 2024
- SHA
- 7bac254c
Base models
Datasets
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. -->
SmolLM_1_7B_Instruct_qlora_nf4-plaba
This model is a fine-tuned version of dmariko/SmolLM-1.7B-Instruct_qlora_nf4_merged on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6513
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: 16
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.8 | 1 | 1.7222 |
| No log | 1.6 | 2 | 1.7181 |
| No log | 2.4 | 3 | 1.6971 |
| No log | 4.0 | 5 | 1.6586 |
| No log | 4.8 | 6 | 1.6597 |
| No log | 5.6 | 7 | 1.6572 |
| No log | 6.4 | 8 | 1.6539 |
| 1.6809 | 8.0 | 10 | 1.6513 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Sep 4, 2024
- Updated
- Sep 12, 2024