metadata
license: apache-2.0
base_model: Flamenco43/MatBERT
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: MatBERTNanoQA
results: []
MatBERTNanoQA
This model is a fine-tuned version of 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