metadata
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-base-cased-sft-glue-mrpc
results: []
bert-base-cased-sft-glue-mrpc
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3643
- Accuracy: 0.8529
- F1: 0.8929
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: 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: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
No log | 0 | 0 | 0.7681 | 0.3162 | 0.0 |
No log | 1.0 | 29 | 0.5222 | 0.7475 | 0.8413 |
No log | 2.0 | 58 | 0.3570 | 0.8456 | 0.8840 |
No log | 3.0 | 87 | 0.3643 | 0.8529 | 0.8929 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1