metadata
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: HuggingFaceTB/SmolLM-360M-Instruct
datasets:
- generator
model-index:
- name: smolLM
results: []
smolLM
This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.8124
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3025 | 0.9524 | 10 | 2.1503 |
| 2.1107 | 2.0 | 21 | 2.0371 |
| 2.0147 | 2.9524 | 31 | 1.9717 |
| 1.9577 | 4.0 | 42 | 1.9244 |
| 1.9087 | 4.9524 | 52 | 1.8953 |
| 1.8825 | 6.0 | 63 | 1.8716 |
| 1.8667 | 6.9524 | 73 | 1.8558 |
| 1.8488 | 8.0 | 84 | 1.8429 |
| 1.8284 | 8.9524 | 94 | 1.8343 |
| 1.8201 | 10.0 | 105 | 1.8270 |
| 1.8129 | 10.9524 | 115 | 1.8219 |
| 1.8028 | 12.0 | 126 | 1.8179 |
| 1.7987 | 12.9524 | 136 | 1.8154 |
| 1.7938 | 14.0 | 147 | 1.8137 |
| 1.79 | 14.9524 | 157 | 1.8130 |
| 1.7903 | 16.0 | 168 | 1.8125 |
| 1.7884 | 16.9524 | 178 | 1.8125 |
| 1.7892 | 18.0 | 189 | 1.8124 |
| 1.7825 | 18.9524 | 199 | 1.8124 |
| 1.7906 | 19.0476 | 200 | 1.8124 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.0
- Datasets 2.18.0
- Tokenizers 0.19.1