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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-V4
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-V4
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: 2.8664
## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|
| 2.5124 | 0.1067 | 200 | 3.1406 |
| 2.646 | 0.2133 | 400 | 3.0470 |
| 2.4984 | 0.32 | 600 | 2.9933 |
| 2.4831 | 0.4267 | 800 | 2.9577 |
| 2.4422 | 0.5333 | 1000 | 2.9183 |
| 2.3946 | 0.64 | 1200 | 2.8964 |
| 2.3091 | 0.7467 | 1400 | 2.8777 |
| 2.3445 | 0.8533 | 1600 | 2.8548 |
| 2.3067 | 0.96 | 1800 | 2.8339 |
| 2.1795 | 1.0667 | 2000 | 2.8570 |
| 1.9869 | 1.1733 | 2200 | 2.8557 |
| 1.9955 | 1.28 | 2400 | 2.8516 |
| 2.0386 | 1.3867 | 2600 | 2.8442 |
| 1.9987 | 1.4933 | 2800 | 2.8436 |
| 2.0111 | 1.6 | 3000 | 2.8368 |
| 1.9452 | 1.7067 | 3200 | 2.8283 |
| 1.9509 | 1.8133 | 3400 | 2.8191 |
| 1.9163 | 1.92 | 3600 | 2.8148 |
| 1.9621 | 2.0267 | 3800 | 2.8338 |
| 1.786 | 2.1333 | 4000 | 2.8653 |
| 1.7842 | 2.24 | 4200 | 2.8693 |
| 1.8084 | 2.3467 | 4400 | 2.8705 |
| 1.7057 | 2.4533 | 4600 | 2.8779 |
| 1.8589 | 2.56 | 4800 | 2.8660 |
| 1.7983 | 2.6667 | 5000 | 2.8655 |
| 1.7421 | 2.7733 | 5200 | 2.8659 |
| 1.7648 | 2.88 | 5400 | 2.8664 |
| 1.8171 | 2.9867 | 5600 | 2.8664 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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