|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-9 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bert-large-cased-sigir-support-refute-no-label-40-2nd-test-LR50-8-fast-9 |
|
|
|
This model is a fine-tuned version of [jojoUla/bert-large-cased-sigir-support-refute-no-label-40](https://huggingface.co/jojoUla/bert-large-cased-sigir-support-refute-no-label-40) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8410 |
|
|
|
## 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: 4e-05 |
|
- train_batch_size: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 5.273 | 1.0 | 1 | 0.0967 | |
|
| 2.6778 | 2.0 | 2 | 0.4944 | |
|
| 2.3321 | 3.0 | 3 | 0.0783 | |
|
| 0.6817 | 4.0 | 4 | 0.0992 | |
|
| 1.5478 | 5.0 | 5 | 4.9722 | |
|
| 1.384 | 6.0 | 6 | 0.7529 | |
|
| 1.132 | 7.0 | 7 | 5.1042 | |
|
| 1.2186 | 8.0 | 8 | 0.0030 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.29.2 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
