---
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