README.md

---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
- precision
- recall
model-index:
- name: bias-scorer-smollm2-135m
  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. -->

# bias-scorer-smollm2-135m

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: 0.4030
- F1: 0.8236
- Accuracy: 0.8297
- Precision: 0.8205
- Recall: 0.8297

## 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: Use OptimizerNames.ADAMW_TORCH 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 | F1     | Accuracy | Precision | Recall |
|:-------------:|:------:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
| No log        | 0      | 0     | 0.6116          | 0.7504 | 0.7313   | 0.7927    | 0.7313 |
| 0.4266        | 0.5044 | 10000 | 0.4032          | 0.8235 | 0.8297   | 0.8204    | 0.8297 |
| 0.3763        | 1.0088 | 20000 | 0.4030          | 0.8236 | 0.8297   | 0.8205    | 0.8297 |
| 0.3956        | 1.5132 | 30000 | 0.4030          | 0.8236 | 0.8297   | 0.8205    | 0.8297 |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3