Add model files and configs

README.md

@@ -0,0 +1,55 @@
+---
+base_model: microsoft/dit-base
+tags:
+- image-classification
+- vision
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: dit-base-patient-chart
+  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. -->
+
+# dit-base-patient-chart
+
+This model is a fine-tuned version of [microsoft/dit-base](https://huggingface.co/microsoft/dit-base) on the imagefolder 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: 5e-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: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.2.0.dev20231114
+- Datasets 2.14.6
+- Tokenizers 0.14.1

all_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.6518288294474284,
+    "train_runtime": 13.1635,
+    "train_samples_per_second": 7.749,
+    "train_steps_per_second": 1.14
+}

config.json

@@ -45,7 +45,7 @@
   ],
   "problem_type": "single_label_classification",
   "semantic_loss_ignore_index": 255,
-  "transformers_version": "4.33.2",
+  "transformers_version": "4.36.0.dev0",
   "use_absolute_position_embeddings": true,
   "use_auxiliary_head": true,
   "use_mask_token": true,

model.safetensors

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+size 343265176

onnx/model.onnx

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+oid sha256:946aedc54d6ba3173619f7593b1b3df0241fee733ea2bf2250a797eb14d9dfd0
 size 343506465

onnx/model_quantized.onnx

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-oid sha256:eb9dabcaa9754e890da22f747340b10ff3f6a06f631330b247ebe64f1632af80
+oid sha256:7e0437612008d814725c9f34fdd4eb05ed97e190f28798ed7969f15839c2b9a8
 size 87112360

quantize_config.json

@@ -4,30 +4,30 @@
     "per_model_config": {
         "model": {
             "op_types": [
-                "Sub",
-                "Erf",
-                "Expand",
-                "Where",
-                "Mul",
-                "ReduceMean",
-                "Concat",
-                "Shape",
-                "Conv",
                 "Div",
-                "Constant",
-                "Reshape",
-                "Add",
-                "Transpose",
-                "Gather",
-                "Unsqueeze",
-                "Pow",
+                "Erf",
+                "ConstantOfShape",
                 "Slice",
+                "Sqrt",
                 "Equal",
-                "ConstantOfShape",
+                "Mul",
                 "Softmax",
-                "Sqrt",
                 "Gemm",
-                "MatMul"
+                "Pow",
+                "Expand",
+                "Transpose",
+                "Add",
+                "Constant",
+                "Unsqueeze",
+                "MatMul",
+                "Conv",
+                "Sub",
+                "ReduceMean",
+                "Concat",
+                "Where",
+                "Reshape",
+                "Shape",
+                "Gather"
             ],
             "weight_type": "QUInt8"
         }

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.6518288294474284,
+    "train_runtime": 13.1635,
+    "train_samples_per_second": 7.749,
+    "train_steps_per_second": 1.14
+}

trainer_state.json

@@ -0,0 +1,28 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 15,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 3.0,
+      "step": 15,
+      "total_flos": 7905102698078208.0,
+      "train_loss": 0.6518288294474284,
+      "train_runtime": 13.1635,
+      "train_samples_per_second": 7.749,
+      "train_steps_per_second": 1.14
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 15,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 7905102698078208.0,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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+size 4600