End of training

README.md

@@ -1,6 +1,5 @@
 ---
-license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: microsoft/dit-base-finetuned-rvlcdip
 tags:
 - image-classification
 - vision
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # donut-base-beans
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/dit-base-finetuned-rvlcdip](https://huggingface.co/microsoft/dit-base-finetuned-rvlcdip) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0410
-- F1: 0.9705
+- Loss: 0.0385
+- F1: 0.9558
 
 ## Model description
 
@@ -49,12 +48,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0663        | 1.0   | 1981 | 0.0594          | 0.9705 |
-| 0.0747        | 2.0   | 3962 | 0.0410          | 0.9705 |
-| 0.0676        | 3.0   | 5943 | 0.0463          | 0.9705 |
-| 0.0706        | 4.0   | 7924 | 0.0445          | 0.9705 |
+| Training Loss | Epoch | Step | F1     | Validation Loss |
+|:-------------:|:-----:|:----:|:------:|:---------------:|
+| 0.0594        | 1.0   | 1981 | 0.9705 | 0.0440          |
+| 0.0678        | 2.0   | 3962 | 0.9705 | 0.0447          |
+| 0.0615        | 3.0   | 5943 | 0.9705 | 0.0416          |
+| 0.0685        | 4.0   | 7924 | 0.9705 | 0.0385          |
+| 0.0582        | 5.0   | 9905 | 0.9705 | 0.0391          |
 
 
 ### Framework versions

all_results.json

@@ -1,13 +1,13 @@
 {
-    "epoch": 4.0,
-    "eval_f1": 0.9705180789481339,
-    "eval_loss": 0.04101279005408287,
-    "eval_runtime": 650.4423,
-    "eval_samples_per_second": 317.11,
-    "eval_steps_per_second": 2.478,
-    "total_flos": 7.856377460228506e+19,
-    "train_loss": 0.07164579255676583,
-    "train_runtime": 13954.7778,
-    "train_samples_per_second": 90.815,
-    "train_steps_per_second": 0.71
+    "epoch": 5.0,
+    "eval_f1": 0.9557601497125016,
+    "eval_loss": 0.038467586040496826,
+    "eval_runtime": 676.7845,
+    "eval_samples_per_second": 304.768,
+    "eval_steps_per_second": 2.382,
+    "total_flos": 9.82152667464321e+19,
+    "train_loss": 0.0,
+    "train_runtime": 0.1073,
+    "train_samples_per_second": 11809730.186,
+    "train_steps_per_second": 92302.831
 }

config.json

@@ -1,10 +1,15 @@
 {
-  "_name_or_path": "google/vit-base-patch16-224-in21k",
+  "_name_or_path": "microsoft/dit-base-finetuned-rvlcdip",
+  "add_fpn": false,
   "architectures": [
-    "ViTForImageClassification"
+    "BeitForImageClassification"
   ],
   "attention_probs_dropout_prob": 0.0,
-  "encoder_stride": 16,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
   "finetuning_task": "image-classification",
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.0,
@@ -19,13 +24,55 @@
     "Value(dtype='int64', id=None)": "0"
   },
   "layer_norm_eps": 1e-12,
-  "model_type": "vit",
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
   "num_attention_heads": 12,
   "num_channels": 3,
   "num_hidden_layers": 12,
+  "out_features": [
+    "stage3",
+    "stage5",
+    "stage7",
+    "stage11"
+  ],
+  "out_indices": [
+    3,
+    5,
+    7,
+    11
+  ],
   "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
   "problem_type": "regression",
-  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "semantic_loss_ignore_index": 255,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
   "torch_dtype": "float32",
-  "transformers_version": "4.43.0.dev0"
+  "transformers_version": "4.43.0.dev0",
+  "use_absolute_position_embeddings": true,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": false,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": 8192
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 4.0,
-    "eval_f1": 0.9705180789481339,
-    "eval_loss": 0.04101279005408287,
-    "eval_runtime": 650.4423,
-    "eval_samples_per_second": 317.11,
-    "eval_steps_per_second": 2.478
+    "epoch": 5.0,
+    "eval_f1": 0.9557601497125016,
+    "eval_loss": 0.038467586040496826,
+    "eval_runtime": 676.7845,
+    "eval_samples_per_second": 304.768,
+    "eval_steps_per_second": 2.382
 }

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:572303f761b7a7387078fed0e6d4bb406e84528aa38cd5998d45fe55f1830673
-size 343220892
+oid sha256:e5e6ad99f326c79142618188e2f2311b61803f4a73856b3c1a458bcde5366aa2
+size 343258940

preprocessor_config.json

@@ -1,5 +1,11 @@
 {
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": false,
   "do_normalize": true,
+  "do_reduce_labels": false,
   "do_rescale": true,
   "do_resize": true,
   "image_mean": [
@@ -7,7 +13,7 @@
     0.5,
     0.5
   ],
-  "image_processor_type": "ViTImageProcessor",
+  "image_processor_type": "BeitImageProcessor",
   "image_std": [
     0.5,
     0.5,

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 4.0,
-    "total_flos": 7.856377460228506e+19,
-    "train_loss": 0.07164579255676583,
-    "train_runtime": 13954.7778,
-    "train_samples_per_second": 90.815,
-    "train_steps_per_second": 0.71
+    "epoch": 5.0,
+    "total_flos": 9.82152667464321e+19,
+    "train_loss": 0.0,
+    "train_runtime": 0.1073,
+    "train_samples_per_second": 11809730.186,
+    "train_steps_per_second": 92302.831
 }

training_args.bin

@@ -1,3 +1,3 @@
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-oid sha256:e2777cd6ca34df0dd4817d6b6c2e8886766894f679613fe17800af149d9d7ac2
-size 5240
+oid sha256:00ae7df97b5917b24e23b5346e8492a354e57422b7b4226410beed0d77d0839f
+size 5368