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library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: SmolLM2-NewArgs
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. -->
# SmolLM2-NewArgs
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: 3.1243
## 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: 0.0003
- 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1837 | 0.16 | 200 | 3.2231 |
| 2.212 | 0.32 | 400 | 3.1906 |
| 2.1925 | 0.48 | 600 | 3.1144 |
| 2.157 | 0.64 | 800 | 3.0551 |
| 2.0288 | 0.8 | 1000 | 3.0355 |
| 1.9743 | 0.96 | 1200 | 2.9745 |
| 1.348 | 1.12 | 1400 | 3.1598 |
| 1.1199 | 1.28 | 1600 | 3.1587 |
| 1.0924 | 1.44 | 1800 | 3.1218 |
| 1.065 | 1.6 | 2000 | 3.1331 |
| 1.053 | 1.76 | 2200 | 3.1213 |
| 1.0264 | 1.92 | 2400 | 3.1243 |
### Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0
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