metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: Assignment2-modified-V3
results: []
Assignment2-modified-V3
This model is a fine-tuned version of HuggingFaceTB/SmolLM-135M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8475
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1903 | 0.16 | 200 | 3.1292 |
| 2.9116 | 0.32 | 400 | 3.0152 |
| 2.816 | 0.48 | 600 | 2.9535 |
| 2.7771 | 0.64 | 800 | 2.9106 |
| 2.667 | 0.8 | 1000 | 2.8754 |
| 2.601 | 0.96 | 1200 | 2.8459 |
| 2.4006 | 1.12 | 1400 | 2.8570 |
| 2.3205 | 1.28 | 1600 | 2.8472 |
| 2.2893 | 1.44 | 1800 | 2.8359 |
| 2.2799 | 1.6 | 2000 | 2.8233 |
| 2.2825 | 1.76 | 2200 | 2.8158 |
| 2.2442 | 1.92 | 2400 | 2.8081 |
| 2.1474 | 2.08 | 2600 | 2.8409 |
| 2.0325 | 2.24 | 2800 | 2.8517 |
| 2.0814 | 2.4 | 3000 | 2.8483 |
| 2.0453 | 2.56 | 3200 | 2.8479 |
| 2.0474 | 2.7200 | 3400 | 2.8474 |
| 2.0077 | 2.88 | 3600 | 2.8475 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0