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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: google-bert/bert-base-uncased
metrics:
- accuracy
- f1
model-index:
- name: loha_fine_tuned_cb
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. -->
# loha_fine_tuned_cb
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co./google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6524
- Accuracy: 0.3636
- F1: 0.2923
## 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: 0.003
- 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
- training_steps: 400
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
| 0.7795 | 3.5714 | 50 | 2.0073 | 0.3182 | 0.1536 |
| 0.7479 | 7.1429 | 100 | 1.3794 | 0.3182 | 0.1536 |
| 0.3979 | 10.7143 | 150 | 3.8538 | 0.3182 | 0.1536 |
| 0.1064 | 14.2857 | 200 | 3.6640 | 0.3182 | 0.2636 |
| 0.0423 | 17.8571 | 250 | 1.8668 | 0.4091 | 0.4067 |
| 0.0025 | 21.4286 | 300 | 3.6246 | 0.4091 | 0.3208 |
| 0.002 | 25.0 | 350 | 3.9578 | 0.4091 | 0.3208 |
| 0.0023 | 28.5714 | 400 | 3.6524 | 0.3636 | 0.2923 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1 |