metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M
tags:
- generated_from_trainer
model-index:
- name: finetune-smolLM2-360M
results: []
finetune-smolLM2-360M
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-360M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7585
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-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7017 | 0.0871 | 50 | 2.8763 |
| 2.6474 | 0.1743 | 100 | 2.8244 |
| 2.5094 | 0.2614 | 150 | 2.8044 |
| 2.6284 | 0.3486 | 200 | 2.7901 |
| 2.7183 | 0.4357 | 250 | 2.7798 |
| 2.6457 | 0.5229 | 300 | 2.7732 |
| 2.7641 | 0.6100 | 350 | 2.7691 |
| 2.6276 | 0.6972 | 400 | 2.7661 |
| 2.7211 | 0.7843 | 450 | 2.7639 |
| 2.6556 | 0.8715 | 500 | 2.7603 |
| 2.7031 | 0.9586 | 550 | 2.7587 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0