|
--- |
|
license: apache-2.0 |
|
base_model: HuggingFaceTB/SmolLM-360M |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: badm |
|
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. --> |
|
|
|
# badm |
|
|
|
This model is a fine-tuned version of [HuggingFaceTB/SmolLM-360M](https://huggingface.co/HuggingFaceTB/SmolLM-360M) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.8689 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 1 | 2.0255 | |
|
| No log | 2.0 | 2 | 1.9920 | |
|
| No log | 3.0 | 3 | 1.9635 | |
|
| No log | 4.0 | 4 | 1.9392 | |
|
| No log | 5.0 | 5 | 1.9187 | |
|
| No log | 6.0 | 6 | 1.9019 | |
|
| No log | 7.0 | 7 | 1.8886 | |
|
| No log | 8.0 | 8 | 1.8787 | |
|
| No log | 9.0 | 9 | 1.8722 | |
|
| No log | 10.0 | 10 | 1.8689 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|