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license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: bert-base-cased
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-base-cased
This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1793
- Icm: 0.1480
- Icmnorm: 0.5752
- Fmeasure: 0.7194
## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 9
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Icm | Icmnorm | Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
| No log | 1.0 | 193 | 0.6062 | 0.0275 | 0.5140 | 0.6639 |
| No log | 2.0 | 386 | 0.5694 | 0.0336 | 0.5171 | 0.6785 |
| 0.5724 | 3.0 | 579 | 0.8413 | 0.0158 | 0.5080 | 0.6641 |
| 0.5724 | 4.0 | 772 | 1.1793 | 0.1480 | 0.5752 | 0.7194 |
| 0.5724 | 5.0 | 965 | 1.4878 | 0.0672 | 0.5341 | 0.6892 |
| 0.2239 | 6.0 | 1158 | 1.6802 | 0.0966 | 0.5491 | 0.7019 |
| 0.2239 | 7.0 | 1351 | 1.8348 | 0.0799 | 0.5406 | 0.6964 |
| 0.0665 | 8.0 | 1544 | 1.9795 | 0.0606 | 0.5308 | 0.6897 |
| 0.0665 | 9.0 | 1737 | 2.0300 | 0.0606 | 0.5308 | 0.6897 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|