---
tags:
- generated_from_trainer
model-index:
- name: train-freezed_bert-bs_128-base-lr_2e05-weighted-dice_0.2
  results: []
---

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# train-freezed_bert-bs_128-base-lr_2e05-weighted-dice_0.2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7180
- eval_precision: 0.1805
- eval_recall: 0.6972
- eval_f1: 0.2868
- eval_accuracy: 0.9464
- eval_runtime: 0.7996
- eval_samples_per_second: 566.566
- eval_steps_per_second: 5.003
- step: 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: 2e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 15

### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1