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yhyhy3
/
dit-base-patient-chart

Image Classification
Transformers
ONNX
beit
vision
Generated from Trainer
Inference Endpoints
Model card Files Community
yhyhy3 commited on
Commit
61104b7
·
1 Parent(s): 3ae7e59

Add model files and configs

Browse files
Files changed (6) hide show
  1. all_results.json +4 -4
  2. onnx/model_quantized.onnx +1 -1
  3. quantize_config.json +18 -18
  4. train_results.json +4 -4
  5. trainer_state.json +9 -9
  6. training_args.bin +1 -1
all_results.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "epoch": 3.0,
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- "train_runtime": 24.4549,
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- "train_samples_per_second": 6.87,
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- "train_steps_per_second": 0.859
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  }
 
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  {
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  "epoch": 3.0,
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+ "train_loss": 0.5741025606791178,
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+ "train_runtime": 21.8228,
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+ "train_samples_per_second": 8.111,
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+ "train_steps_per_second": 1.1
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  }
onnx/model_quantized.onnx CHANGED
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quantize_config.json CHANGED
@@ -4,30 +4,30 @@
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  "per_model_config": {
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  "model": {
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  "op_types": [
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- "Sqrt",
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- "Reshape",
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- "Equal",
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  "Expand",
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- "Conv",
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- "Pow",
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- "Add",
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- "Erf",
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- "Sub",
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  "Div",
 
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  "Softmax",
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- "ReduceMean",
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- "ConstantOfShape",
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- "Gather",
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- "Shape",
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- "Constant",
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  "Gemm",
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- "MatMul",
 
 
 
 
 
 
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  "Unsqueeze",
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- "Slice",
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- "Concat",
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  "Mul",
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- "Transpose",
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- "Where"
 
 
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  ],
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  "weight_type": "QUInt8"
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  }
 
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  "per_model_config": {
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  "model": {
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  "op_types": [
 
 
 
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  "Expand",
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+ "ConstantOfShape",
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+ "MatMul",
 
 
 
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  "Div",
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+ "Concat",
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  "Softmax",
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+ "Erf",
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+ "Sqrt",
 
 
 
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  "Gemm",
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+ "Constant",
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+ "Transpose",
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+ "Equal",
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+ "Sub",
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+ "Reshape",
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+ "Shape",
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+ "ReduceMean",
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  "Unsqueeze",
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+ "Gather",
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+ "Where",
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  "Mul",
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+ "Conv",
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+ "Pow",
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+ "Add",
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+ "Slice"
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  ],
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  "weight_type": "QUInt8"
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  }
train_results.json CHANGED
@@ -1,7 +1,7 @@
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  {
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  "epoch": 3.0,
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- "train_loss": 0.5212204796927316,
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- "train_runtime": 24.4549,
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- "train_samples_per_second": 6.87,
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- "train_steps_per_second": 0.859
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  }
 
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  {
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  "epoch": 3.0,
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+ "train_runtime": 21.8228,
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+ "train_samples_per_second": 8.111,
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+ "train_steps_per_second": 1.1
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  }
trainer_state.json CHANGED
@@ -3,26 +3,26 @@
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  "best_model_checkpoint": null,
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  "epoch": 3.0,
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  "eval_steps": 500,
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- "global_step": 21,
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  "is_hyper_param_search": false,
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  "is_world_process_zero": true,
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  "log_history": [
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  {
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  "logging_steps": 500,
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  "num_train_epochs": 3,
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  "save_steps": 500,
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  "best_model_checkpoint": null,
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  "epoch": 3.0,
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  "is_world_process_zero": true,
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  "log_history": [
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  {
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  "epoch": 3.0,
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+ "train_steps_per_second": 1.1
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  "logging_steps": 500,
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  "num_train_epochs": 3,
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training_args.bin CHANGED
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