---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: Assignment2-modified-V3
  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-V3

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: 2.8475

## 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: 5e-05
- train_batch_size: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.1903        | 0.16   | 200  | 3.1292          |
| 2.9116        | 0.32   | 400  | 3.0152          |
| 2.816         | 0.48   | 600  | 2.9535          |
| 2.7771        | 0.64   | 800  | 2.9106          |
| 2.667         | 0.8    | 1000 | 2.8754          |
| 2.601         | 0.96   | 1200 | 2.8459          |
| 2.4006        | 1.12   | 1400 | 2.8570          |
| 2.3205        | 1.28   | 1600 | 2.8472          |
| 2.2893        | 1.44   | 1800 | 2.8359          |
| 2.2799        | 1.6    | 2000 | 2.8233          |
| 2.2825        | 1.76   | 2200 | 2.8158          |
| 2.2442        | 1.92   | 2400 | 2.8081          |
| 2.1474        | 2.08   | 2600 | 2.8409          |
| 2.0325        | 2.24   | 2800 | 2.8517          |
| 2.0814        | 2.4    | 3000 | 2.8483          |
| 2.0453        | 2.56   | 3200 | 2.8479          |
| 2.0474        | 2.7200 | 3400 | 2.8474          |
| 2.0077        | 2.88   | 3600 | 2.8475          |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0