|
|
--- |
|
|
library_name: transformers |
|
|
license: apache-2.0 |
|
|
base_model: HuggingFaceTB/SmolLM2-135M |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: Assignment2-new-V1 |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
|
|
# Assignment2-new-V1 |
|
|
|
|
|
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.7562 |
|
|
|
|
|
## 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 | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 3.0497 | 0.2667 | 200 | 3.2017 | |
|
|
| 2.7371 | 0.5333 | 400 | 3.1500 | |
|
|
| 2.634 | 0.8 | 600 | 3.1470 | |
|
|
| 2.3443 | 1.0667 | 800 | 3.2600 | |
|
|
| 1.5858 | 1.3333 | 1000 | 3.3185 | |
|
|
| 1.6435 | 1.6 | 1200 | 3.3079 | |
|
|
| 1.6418 | 1.8667 | 1400 | 3.3309 | |
|
|
| 1.2469 | 2.1333 | 1600 | 3.6364 | |
|
|
| 0.9057 | 2.4 | 1800 | 3.7295 | |
|
|
| 0.9513 | 2.6667 | 2000 | 3.7363 | |
|
|
| 0.9653 | 2.9333 | 2200 | 3.7562 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.1 |
|
|
- Pytorch 2.8.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.22.1 |
|
|
|
