metadata
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: Assignment2-new-V3
results: []
Assignment2-new-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: 3.8361
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: 0.0002
- train_batch_size: 4
- 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: constant
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0969 | 0.2667 | 200 | 3.2086 |
| 2.7618 | 0.5333 | 400 | 3.1396 |
| 2.6575 | 0.8 | 600 | 3.1075 |
| 2.3658 | 1.0667 | 800 | 3.2368 |
| 1.6353 | 1.3333 | 1000 | 3.3381 |
| 1.6669 | 1.6 | 1200 | 3.2797 |
| 1.6874 | 1.8667 | 1400 | 3.2898 |
| 1.2667 | 2.1333 | 1600 | 3.7334 |
| 0.9263 | 2.4 | 1800 | 3.8037 |
| 0.9622 | 2.6667 | 2000 | 3.7691 |
| 0.9586 | 2.9333 | 2200 | 3.8361 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1