End of training

README.md

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+---
+license: mit
+base_model: nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e6_dec1e5_bs4
+tags:
+- generated_from_trainer
+model-index:
+- name: tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e5_dec1e4_bs8
+  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. -->
+
+# tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e5_dec1e4_bs8
+
+This model is a fine-tuned version of [nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e6_dec1e5_bs4](https://huggingface.co/nsugianto/tblstructrecog_finetuned_tbltransstrucrecog_v1_s1_394s_adjpar6_lr1e6_dec1e5_bs4) 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: 1e-05
+- 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
+- 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