---
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