---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: Assignment2-new-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-new-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: 3.8361

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.0969        | 0.2667 | 200  | 3.2086          |
| 2.7618        | 0.5333 | 400  | 3.1396          |
| 2.6575        | 0.8    | 600  | 3.1075          |
| 2.3658        | 1.0667 | 800  | 3.2368          |
| 1.6353        | 1.3333 | 1000 | 3.3381          |
| 1.6669        | 1.6    | 1200 | 3.2797          |
| 1.6874        | 1.8667 | 1400 | 3.2898          |
| 1.2667        | 2.1333 | 1600 | 3.7334          |
| 0.9263        | 2.4    | 1800 | 3.8037          |
| 0.9622        | 2.6667 | 2000 | 3.7691          |
| 0.9586        | 2.9333 | 2200 | 3.8361          |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1