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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
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