Model save

README.md

@@ -1,5 +1,56 @@
 ---
-license: cc-by-nc-sa-4.0
+base_model: vikp/line_detector_clean
+tags:
+- generated_from_trainer
+model-index:
+- name: line_detector_math
+  results: []
 ---
 
-Specialized math model for [surya](https://github.com/VikParuchuri/surya).
+<!-- 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. -->
+
+# line_detector_math
+
+This model is a fine-tuned version of [vikp/line_detector_clean](https://huggingface.co/vikp/line_detector_clean) 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: 6e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

@@ -1,12 +1,12 @@
 {
-  "_name_or_path": "line_detector_math/checkpoint-4000",
+  "_name_or_path": "vikp/line_detector_clean",
   "architectures": [
     "SegformerForRegressionMask"
   ],
   "attention_probs_dropout_prob": 0.0,
   "classifier_dropout_prob": 0.1,
-  "decoder_hidden_size": 768,
-  "decoder_layer_hidden_size": 192,
+  "decoder_hidden_size": 512,
+  "decoder_layer_hidden_size": 128,
   "decoder_upsample_rate": 2,
   "depths": [
     3,
@@ -76,5 +76,5 @@
     2
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.36.0"
+  "transformers_version": "4.36.2"
 }

model.safetensors

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+size 118301152

training_args.bin

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