metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: BLESSRelationTrain-1
results: []
BLESSRelationTrain-1
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6931
- Accuracy: 0.5
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 0.8 | 100 | 0.6935 | 0.5 | 0.5 | 1.0 | 0.6667 |
| No log | 1.6 | 200 | 0.6932 | 0.5 | 0.5 | 1.0 | 0.6667 |
| No log | 2.4 | 300 | 0.6940 | 0.5 | 0.5 | 1.0 | 0.6667 |
| No log | 3.2 | 400 | 0.7094 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.6995 | 4.0 | 500 | 0.7003 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6995 | 4.8 | 600 | 0.7002 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.6995 | 5.6 | 700 | 0.6931 | 0.5 | 0.5 | 1.0 | 0.6667 |
| 0.6995 | 6.4 | 800 | 0.6962 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.6995 | 7.2 | 900 | 0.6935 | 0.5 | 0.0 | 0.0 | 0.0 |
| 0.6971 | 8.0 | 1000 | 0.6931 | 0.5 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1