---
license: apache-2.0
base_model: Flamenco43/MatBERT
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: MatBERTNanoQA
  results: []
---

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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/nananansnsns/LLLM/runs/ucjaut87)
# MatBERTNanoQA

This model is a fine-tuned version of [Flamenco43/MatBERT](https://huggingface.co/Flamenco43/MatBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1722
- F1: 74.5785
- Em: 62.5
- Precision: 0
- Recall: 0

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1      | Em      | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:------:|
| 1.1937        | 1.0   | 1118 | 1.5914          | 67.1538 | 50.0    | 0         | 0      |
| 1.0172        | 2.0   | 2236 | 1.3482          | 72.0843 | 59.6154 | 0         | 0      |
| 0.8463        | 3.0   | 3354 | 1.2223          | 74.0304 | 62.5    | 0         | 0      |
| 0.7447        | 4.0   | 4472 | 1.1722          | 74.5785 | 62.5    | 0         | 0      |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1