---
license: mit
base_model: nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr5e5_dec1e4_bs12
tags:
- generated_from_trainer
model-index:
- name: tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e4_dec1e3_bs16
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e4_dec1e3_bs16

This model is a fine-tuned version of [nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr5e5_dec1e4_bs12](https://huggingface.co/nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr5e5_dec1e4_bs12) on an unknown dataset.

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1000
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.19.1