metadata
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: kaelte
results: []
kaelte
This model is a fine-tuned version of svalabs/gbert-large-zeroshot-nli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0022
- F1: 1.0
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.94 | 11 | 0.6783 | 0.7786 |
| No log | 1.94 | 22 | 0.1718 | 0.9272 |
| No log | 2.94 | 33 | 0.0769 | 0.9887 |
| No log | 3.94 | 44 | 0.0686 | 0.9887 |
| No log | 4.94 | 55 | 0.0227 | 0.9887 |
| No log | 5.94 | 66 | 0.0075 | 1.0 |
| No log | 6.94 | 77 | 0.0099 | 1.0 |
| No log | 7.94 | 88 | 0.0025 | 1.0 |
| No log | 8.94 | 99 | 0.0023 | 1.0 |
| No log | 9.94 | 110 | 0.0022 | 1.0 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1