Upload folder using huggingface_hub

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

Untitled.ipynb

@@ -0,0 +1,59 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "102b0a05-223a-4b31-ae92-fa56b499e81b",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "PermissionError",
+     "evalue": "[Errno 13] Permission denied: './'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[2], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtorch\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m torch\u001b[38;5;241m.\u001b[39mload(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m./\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\torch\\serialization.py:998\u001b[0m, in \u001b[0;36mload\u001b[1;34m(f, map_location, pickle_module, weights_only, mmap, **pickle_load_args)\u001b[0m\n\u001b[0;32m    995\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mencoding\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m pickle_load_args\u001b[38;5;241m.\u001b[39mkeys():\n\u001b[0;32m    996\u001b[0m     pickle_load_args[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mencoding\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m--> 998\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m _open_file_like(f, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m opened_file:\n\u001b[0;32m    999\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m _is_zipfile(opened_file):\n\u001b[0;32m   1000\u001b[0m         \u001b[38;5;66;03m# The zipfile reader is going to advance the current file position.\u001b[39;00m\n\u001b[0;32m   1001\u001b[0m         \u001b[38;5;66;03m# If we want to actually tail call to torch.jit.load, we need to\u001b[39;00m\n\u001b[0;32m   1002\u001b[0m         \u001b[38;5;66;03m# reset back to the original position.\u001b[39;00m\n\u001b[0;32m   1003\u001b[0m         orig_position \u001b[38;5;241m=\u001b[39m opened_file\u001b[38;5;241m.\u001b[39mtell()\n",
+      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\torch\\serialization.py:445\u001b[0m, in \u001b[0;36m_open_file_like\u001b[1;34m(name_or_buffer, mode)\u001b[0m\n\u001b[0;32m    443\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_open_file_like\u001b[39m(name_or_buffer, mode):\n\u001b[0;32m    444\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m _is_path(name_or_buffer):\n\u001b[1;32m--> 445\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m _open_file(name_or_buffer, mode)\n\u001b[0;32m    446\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    447\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m mode:\n",
+      "File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\torch\\serialization.py:426\u001b[0m, in \u001b[0;36m_open_file.__init__\u001b[1;34m(self, name, mode)\u001b[0m\n\u001b[0;32m    425\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, name, mode):\n\u001b[1;32m--> 426\u001b[0m     \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mopen\u001b[39m(name, mode))\n",
+      "\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: './'"
+     ]
+    }
+   ],
+   "source": [
+    "import torch\n",
+    "torch.load(\"./\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1e0c5030-7989-447a-8d52-462250e73cd4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

checkpoint-912/config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "dima806/faces_age_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "MIDDLE",
+    "1": "YOUNG",
+    "2": "OLD"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "MIDDLE": 0,
+    "OLD": 2,
+    "YOUNG": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3"
+}

checkpoint-912/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecb7a1a4a720a9106d710e5993e69af6e6672bc9f2529c3558ee1f0ca4c7febf
+size 343227052

checkpoint-912/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af6df15363c92b6e0b3630c3dc63e3d52a63510ed33c253c060681e7f6970a77
+size 686569402

checkpoint-912/preprocessor_config.json

@@ -0,0 +1,36 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

checkpoint-912/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d194b42225c4d046dfe78ac5b251bff4011bf634757127f1d2d2dfcba81ced5
+size 13990

checkpoint-912/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bcb19564fcf1eccb2c35bb91f70f654e08fbc246fce8f41b165330a9f4a529dd
+size 1064

checkpoint-912/trainer_state.json

@@ -0,0 +1,46 @@
+{
+  "best_metric": 0.24887500703334808,
+  "best_model_checkpoint": "faces_age_detection\\checkpoint-912",
+  "epoch": 2.0,
+  "eval_steps": 500,
+  "global_step": 912,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.904688463911166,
+      "eval_loss": 0.250020295381546,
+      "eval_runtime": 420.3588,
+      "eval_samples_per_second": 7.712,
+      "eval_steps_per_second": 0.243,
+      "step": 456
+    },
+    {
+      "epoch": 1.1,
+      "grad_norm": 5.34998893737793,
+      "learning_rate": 4.779582366589327e-07,
+      "loss": 0.114,
+      "step": 500
+    },
+    {
+      "epoch": 2.0,
+      "eval_accuracy": 0.9065391733497841,
+      "eval_loss": 0.24887500703334808,
+      "eval_runtime": 419.7545,
+      "eval_samples_per_second": 7.724,
+      "eval_steps_per_second": 0.243,
+      "step": 912
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 912,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "total_flos": 4.5209231933567386e+18,
+  "train_batch_size": 64,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-912/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be9e1affbd648308bbe43d69e507d8b3c597764e0e18d3283c5e662e9b9b0b91
+size 4856

config.json

@@ -0,0 +1,34 @@
+{
+  "_name_or_path": "dima806/faces_age_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "MIDDLE",
+    "1": "YOUNG",
+    "2": "OLD"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "MIDDLE": 0,
+    "OLD": 2,
+    "YOUNG": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ecb7a1a4a720a9106d710e5993e69af6e6672bc9f2529c3558ee1f0ca4c7febf
+size 343227052

preprocessor_config.json

@@ -0,0 +1,36 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be9e1affbd648308bbe43d69e507d8b3c597764e0e18d3283c5e662e9b9b0b91
+size 4856