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---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: Assignment2-modified-V5
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-modified-V5
This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8368
## 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: 4e-05
- train_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.6905 | 0.2132 | 200 | 3.0405 |
| 2.5101 | 0.4264 | 400 | 2.9576 |
| 2.4462 | 0.6397 | 600 | 2.8987 |
| 2.3591 | 0.8529 | 800 | 2.8647 |
| 2.303 | 1.0661 | 1000 | 2.8560 |
| 2.1124 | 1.2793 | 1200 | 2.8495 |
| 2.1282 | 1.4925 | 1400 | 2.8352 |
| 2.0929 | 1.7058 | 1600 | 2.8206 |
| 2.0485 | 1.9190 | 1800 | 2.8105 |
| 2.0171 | 2.1322 | 2000 | 2.8344 |
| 1.9584 | 2.3454 | 2200 | 2.8385 |
| 1.9484 | 2.5586 | 2400 | 2.8381 |
| 1.9297 | 2.7719 | 2600 | 2.8366 |
| 1.9606 | 2.9851 | 2800 | 2.8368 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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