metadata
license: cc-by-nc-4.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceTB/SmolLM-1.7B-Instruct
datasets:
- generator
model-index:
- name: SmolLM_1_7B_Instruct_qlora_nf4-plaba
results: []
language:
- en
SmolLM_1_7B_Instruct_qlora_nf4-plaba
This model is a fine-tuned version of HuggingFaceTB/SmolLM-1.7B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.7491
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 | 1.9677 |
| No log | 1.6 | 2 | 1.9588 |
| No log | 2.4 | 3 | 1.9242 |
| No log | 4.0 | 5 | 1.8088 |
| No log | 4.8 | 6 | 1.7755 |
| No log | 5.6 | 7 | 1.7593 |
| No log | 6.4 | 8 | 1.7526 |
| 1.8621 | 8.0 | 10 | 1.7491 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1