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---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
tags:
- generated_from_trainer
model-index:
- name: SlimPajama_10k_SmolLM2
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. -->
# SlimPajama_10k_SmolLM2
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-360M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-360M-Instruct) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 6.1564
## 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: 5
- eval_batch_size: 5
- 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: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.797 | 0.1 | 200 | 7.2221 |
| 7.027 | 0.2 | 400 | 6.8442 |
| 6.8007 | 0.3 | 600 | 6.6666 |
| 6.5956 | 0.4 | 800 | 6.5034 |
| 6.4728 | 0.5 | 1000 | 6.3831 |
| 6.3834 | 0.6 | 1200 | 6.2946 |
| 6.2918 | 0.7 | 1400 | 6.2285 |
| 6.2077 | 0.8 | 1600 | 6.1818 |
| 6.1528 | 0.9 | 1800 | 6.1604 |
| 6.1992 | 1.0 | 2000 | 6.1564 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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