Upload with huggingface_hub

README.md

@@ -0,0 +1,15 @@
+---
+license: apache-2.0
+tags:
+- canine
+- pretrained-on-english-language
+---
+
+### How to use
+
+Here is how to use this model:
+
+```python
+from transformers import CanineModel
+model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
+```

all_results.json

@@ -0,0 +1,20 @@
+{
+    "epoch": 36.2,
+    "eval_accuracy": 0.984617888825588,
+    "eval_loss": 0.11322484910488129,
+    "eval_runtime": 2.5865,
+    "eval_samples": 507,
+    "eval_samples_per_second": 196.015,
+    "eval_steps_per_second": 24.743,
+    "test_accuracy": 0.9822003989565751,
+    "test_loss": 0.11768904328346252,
+    "test_runtime": 2.769,
+    "test_samples": 543,
+    "test_samples_per_second": 196.098,
+    "test_steps_per_second": 24.557,
+    "train_loss": 0.021707101341336965,
+    "train_runtime": 2208.5517,
+    "train_samples": 7050,
+    "train_samples_per_second": 217.337,
+    "train_steps_per_second": 6.792
+}

config.json

@@ -0,0 +1,69 @@
+{
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "ADJ",
+    "1": "ADP",
+    "2": "ADV",
+    "3": "AUX",
+    "4": "CCONJ",
+    "5": "DET",
+    "6": "INTJ",
+    "7": "NOUN",
+    "8": "NUM",
+    "9": "PART",
+    "10": "PRON",
+    "11": "PROPN",
+    "12": "PUNCT",
+    "13": "SCONJ",
+    "14": "SYM",
+    "15": "VERB",
+    "16": "X"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "ADJ": 0,
+    "ADP": 1,
+    "ADV": 2,
+    "AUX": 3,
+    "CCONJ": 4,
+    "DET": 5,
+    "INTJ": 6,
+    "NOUN": 7,
+    "NUM": 8,
+    "PART": 9,
+    "PRON": 10,
+    "PROPN": 11,
+    "PUNCT": 12,
+    "SCONJ": 13,
+    "SYM": 14,
+    "VERB": 15,
+    "X": 16
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1971f882719eca5f3b5219b0d7f314be6909e98a886aba9bf299d92145747bf9
+size 709189741

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "add_prefix_space": false, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-multilingual-cased", "tokenizer_class": "BertTokenizer"}

trainer_state.json

@@ -0,0 +1,649 @@
+{
+  "best_metric": 0.984617888825588,
+  "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/mbert/mbert-base-finetuned-pos-ud-Japanese-GSD/checkpoint-5500",
+  "epoch": 36.199095022624434,
+  "global_step": 8000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.45,
+      "learning_rate": 7.840000000000001e-05,
+      "loss": 0.901,
+      "step": 100
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 7.947382550335571e-05,
+      "loss": 0.1239,
+      "step": 200
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 7.893691275167786e-05,
+      "loss": 0.0812,
+      "step": 300
+    },
+    {
+      "epoch": 1.81,
+      "learning_rate": 7.840000000000001e-05,
+      "loss": 0.069,
+      "step": 400
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 7.786308724832216e-05,
+      "loss": 0.0517,
+      "step": 500
+    },
+    {
+      "epoch": 2.26,
+      "eval_accuracy": 0.9805485472450558,
+      "eval_loss": 0.07757739722728729,
+      "eval_runtime": 2.5773,
+      "eval_samples_per_second": 196.718,
+      "eval_steps_per_second": 24.832,
+      "step": 500
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 7.73261744966443e-05,
+      "loss": 0.0422,
+      "step": 600
+    },
+    {
+      "epoch": 3.17,
+      "learning_rate": 7.678926174496645e-05,
+      "loss": 0.0332,
+      "step": 700
+    },
+    {
+      "epoch": 3.62,
+      "learning_rate": 7.62523489932886e-05,
+      "loss": 0.0268,
+      "step": 800
+    },
+    {
+      "epoch": 4.07,
+      "learning_rate": 7.571543624161075e-05,
+      "loss": 0.0264,
+      "step": 900
+    },
+    {
+      "epoch": 4.52,
+      "learning_rate": 7.51785234899329e-05,
+      "loss": 0.0194,
+      "step": 1000
+    },
+    {
+      "epoch": 4.52,
+      "eval_accuracy": 0.9803043867502238,
+      "eval_loss": 0.08086052536964417,
+      "eval_runtime": 2.5816,
+      "eval_samples_per_second": 196.393,
+      "eval_steps_per_second": 24.791,
+      "step": 1000
+    },
+    {
+      "epoch": 4.98,
+      "learning_rate": 7.464161073825505e-05,
+      "loss": 0.0179,
+      "step": 1100
+    },
+    {
+      "epoch": 5.43,
+      "learning_rate": 7.410469798657718e-05,
+      "loss": 0.0133,
+      "step": 1200
+    },
+    {
+      "epoch": 5.88,
+      "learning_rate": 7.356778523489933e-05,
+      "loss": 0.0157,
+      "step": 1300
+    },
+    {
+      "epoch": 6.33,
+      "learning_rate": 7.303087248322148e-05,
+      "loss": 0.0119,
+      "step": 1400
+    },
+    {
+      "epoch": 6.79,
+      "learning_rate": 7.249395973154363e-05,
+      "loss": 0.0124,
+      "step": 1500
+    },
+    {
+      "epoch": 6.79,
+      "eval_accuracy": 0.9816879628876047,
+      "eval_loss": 0.09609220921993256,
+      "eval_runtime": 2.603,
+      "eval_samples_per_second": 194.776,
+      "eval_steps_per_second": 24.587,
+      "step": 1500
+    },
+    {
+      "epoch": 7.24,
+      "learning_rate": 7.195704697986577e-05,
+      "loss": 0.0123,
+      "step": 1600
+    },
+    {
+      "epoch": 7.69,
+      "learning_rate": 7.142013422818792e-05,
+      "loss": 0.0093,
+      "step": 1700
+    },
+    {
+      "epoch": 8.14,
+      "learning_rate": 7.088322147651007e-05,
+      "loss": 0.0099,
+      "step": 1800
+    },
+    {
+      "epoch": 8.6,
+      "learning_rate": 7.034630872483222e-05,
+      "loss": 0.009,
+      "step": 1900
+    },
+    {
+      "epoch": 9.05,
+      "learning_rate": 6.980939597315437e-05,
+      "loss": 0.0105,
+      "step": 2000
+    },
+    {
+      "epoch": 9.05,
+      "eval_accuracy": 0.9804671604134451,
+      "eval_loss": 0.0997396856546402,
+      "eval_runtime": 2.5962,
+      "eval_samples_per_second": 195.282,
+      "eval_steps_per_second": 24.651,
+      "step": 2000
+    },
+    {
+      "epoch": 9.5,
+      "learning_rate": 6.927248322147651e-05,
+      "loss": 0.008,
+      "step": 2100
+    },
+    {
+      "epoch": 9.95,
+      "learning_rate": 6.873557046979866e-05,
+      "loss": 0.0082,
+      "step": 2200
+    },
+    {
+      "epoch": 10.41,
+      "learning_rate": 6.819865771812081e-05,
+      "loss": 0.0082,
+      "step": 2300
+    },
+    {
+      "epoch": 10.86,
+      "learning_rate": 6.766174496644296e-05,
+      "loss": 0.0078,
+      "step": 2400
+    },
+    {
+      "epoch": 11.31,
+      "learning_rate": 6.712483221476511e-05,
+      "loss": 0.0082,
+      "step": 2500
+    },
+    {
+      "epoch": 11.31,
+      "eval_accuracy": 0.9815251892243835,
+      "eval_loss": 0.09456193447113037,
+      "eval_runtime": 2.6055,
+      "eval_samples_per_second": 194.586,
+      "eval_steps_per_second": 24.563,
+      "step": 2500
+    },
+    {
+      "epoch": 11.76,
+      "learning_rate": 6.658791946308726e-05,
+      "loss": 0.0065,
+      "step": 2600
+    },
+    {
+      "epoch": 12.22,
+      "learning_rate": 6.60510067114094e-05,
+      "loss": 0.0055,
+      "step": 2700
+    },
+    {
+      "epoch": 12.67,
+      "learning_rate": 6.551409395973155e-05,
+      "loss": 0.0055,
+      "step": 2800
+    },
+    {
+      "epoch": 13.12,
+      "learning_rate": 6.49771812080537e-05,
+      "loss": 0.0058,
+      "step": 2900
+    },
+    {
+      "epoch": 13.57,
+      "learning_rate": 6.444026845637585e-05,
+      "loss": 0.0052,
+      "step": 3000
+    },
+    {
+      "epoch": 13.57,
+      "eval_accuracy": 0.9798974525921705,
+      "eval_loss": 0.10926211625337601,
+      "eval_runtime": 2.6042,
+      "eval_samples_per_second": 194.688,
+      "eval_steps_per_second": 24.576,
+      "step": 3000
+    },
+    {
+      "epoch": 14.03,
+      "learning_rate": 6.3903355704698e-05,
+      "loss": 0.0059,
+      "step": 3100
+    },
+    {
+      "epoch": 14.48,
+      "learning_rate": 6.336644295302015e-05,
+      "loss": 0.0065,
+      "step": 3200
+    },
+    {
+      "epoch": 14.93,
+      "learning_rate": 6.28295302013423e-05,
+      "loss": 0.0063,
+      "step": 3300
+    },
+    {
+      "epoch": 15.38,
+      "learning_rate": 6.229261744966444e-05,
+      "loss": 0.0056,
+      "step": 3400
+    },
+    {
+      "epoch": 15.84,
+      "learning_rate": 6.176107382550336e-05,
+      "loss": 0.0059,
+      "step": 3500
+    },
+    {
+      "epoch": 15.84,
+      "eval_accuracy": 0.982094897045658,
+      "eval_loss": 0.1131383404135704,
+      "eval_runtime": 2.6028,
+      "eval_samples_per_second": 194.787,
+      "eval_steps_per_second": 24.588,
+      "step": 3500
+    },
+    {
+      "epoch": 16.29,
+      "learning_rate": 6.122416107382551e-05,
+      "loss": 0.0056,
+      "step": 3600
+    },
+    {
+      "epoch": 16.74,
+      "learning_rate": 6.068724832214766e-05,
+      "loss": 0.0044,
+      "step": 3700
+    },
+    {
+      "epoch": 17.19,
+      "learning_rate": 6.015033557046981e-05,
+      "loss": 0.0056,
+      "step": 3800
+    },
+    {
+      "epoch": 17.65,
+      "learning_rate": 5.9613422818791955e-05,
+      "loss": 0.004,
+      "step": 3900
+    },
+    {
+      "epoch": 18.1,
+      "learning_rate": 5.90765100671141e-05,
+      "loss": 0.0031,
+      "step": 4000
+    },
+    {
+      "epoch": 18.1,
+      "eval_accuracy": 0.9822576707088793,
+      "eval_loss": 0.11973382532596588,
+      "eval_runtime": 2.6076,
+      "eval_samples_per_second": 194.43,
+      "eval_steps_per_second": 24.543,
+      "step": 4000
+    },
+    {
+      "epoch": 18.55,
+      "learning_rate": 5.853959731543625e-05,
+      "loss": 0.0053,
+      "step": 4100
+    },
+    {
+      "epoch": 19.0,
+      "learning_rate": 5.80026845637584e-05,
+      "loss": 0.0054,
+      "step": 4200
+    },
+    {
+      "epoch": 19.46,
+      "learning_rate": 5.7465771812080534e-05,
+      "loss": 0.0054,
+      "step": 4300
+    },
+    {
+      "epoch": 19.91,
+      "learning_rate": 5.692885906040268e-05,
+      "loss": 0.0048,
+      "step": 4400
+    },
+    {
+      "epoch": 20.36,
+      "learning_rate": 5.639194630872483e-05,
+      "loss": 0.0046,
+      "step": 4500
+    },
+    {
+      "epoch": 20.36,
+      "eval_accuracy": 0.9817693497192155,
+      "eval_loss": 0.11302904784679413,
+      "eval_runtime": 2.605,
+      "eval_samples_per_second": 194.626,
+      "eval_steps_per_second": 24.568,
+      "step": 4500
+    },
+    {
+      "epoch": 20.81,
+      "learning_rate": 5.5855033557046986e-05,
+      "loss": 0.0046,
+      "step": 4600
+    },
+    {
+      "epoch": 21.27,
+      "learning_rate": 5.5318120805369134e-05,
+      "loss": 0.0041,
+      "step": 4700
+    },
+    {
+      "epoch": 21.72,
+      "learning_rate": 5.478120805369128e-05,
+      "loss": 0.003,
+      "step": 4800
+    },
+    {
+      "epoch": 22.17,
+      "learning_rate": 5.424429530201343e-05,
+      "loss": 0.0042,
+      "step": 4900
+    },
+    {
+      "epoch": 22.62,
+      "learning_rate": 5.370738255033558e-05,
+      "loss": 0.0034,
+      "step": 5000
+    },
+    {
+      "epoch": 22.62,
+      "eval_accuracy": 0.9838854073410922,
+      "eval_loss": 0.11620958149433136,
+      "eval_runtime": 2.6086,
+      "eval_samples_per_second": 194.354,
+      "eval_steps_per_second": 24.534,
+      "step": 5000
+    },
+    {
+      "epoch": 23.08,
+      "learning_rate": 5.317046979865773e-05,
+      "loss": 0.0032,
+      "step": 5100
+    },
+    {
+      "epoch": 23.53,
+      "learning_rate": 5.2633557046979875e-05,
+      "loss": 0.0033,
+      "step": 5200
+    },
+    {
+      "epoch": 23.98,
+      "learning_rate": 5.2096644295302024e-05,
+      "loss": 0.0033,
+      "step": 5300
+    },
+    {
+      "epoch": 24.43,
+      "learning_rate": 5.155973154362417e-05,
+      "loss": 0.0024,
+      "step": 5400
+    },
+    {
+      "epoch": 24.89,
+      "learning_rate": 5.1022818791946307e-05,
+      "loss": 0.0027,
+      "step": 5500
+    },
+    {
+      "epoch": 24.89,
+      "eval_accuracy": 0.984617888825588,
+      "eval_loss": 0.11322484910488129,
+      "eval_runtime": 2.6066,
+      "eval_samples_per_second": 194.503,
+      "eval_steps_per_second": 24.553,
+      "step": 5500
+    },
+    {
+      "epoch": 25.34,
+      "learning_rate": 5.0485906040268455e-05,
+      "loss": 0.0033,
+      "step": 5600
+    },
+    {
+      "epoch": 25.79,
+      "learning_rate": 4.99489932885906e-05,
+      "loss": 0.0037,
+      "step": 5700
+    },
+    {
+      "epoch": 26.24,
+      "learning_rate": 4.941208053691275e-05,
+      "loss": 0.0028,
+      "step": 5800
+    },
+    {
+      "epoch": 26.7,
+      "learning_rate": 4.88751677852349e-05,
+      "loss": 0.0023,
+      "step": 5900
+    },
+    {
+      "epoch": 27.15,
+      "learning_rate": 4.833825503355705e-05,
+      "loss": 0.0021,
+      "step": 6000
+    },
+    {
+      "epoch": 27.15,
+      "eval_accuracy": 0.9831529258565964,
+      "eval_loss": 0.12333222478628159,
+      "eval_runtime": 2.6126,
+      "eval_samples_per_second": 194.063,
+      "eval_steps_per_second": 24.497,
+      "step": 6000
+    },
+    {
+      "epoch": 27.6,
+      "learning_rate": 4.7801342281879196e-05,
+      "loss": 0.0026,
+      "step": 6100
+    },
+    {
+      "epoch": 28.05,
+      "learning_rate": 4.726442953020135e-05,
+      "loss": 0.0031,
+      "step": 6200
+    },
+    {
+      "epoch": 28.51,
+      "learning_rate": 4.67275167785235e-05,
+      "loss": 0.0027,
+      "step": 6300
+    },
+    {
+      "epoch": 28.96,
+      "learning_rate": 4.619060402684565e-05,
+      "loss": 0.003,
+      "step": 6400
+    },
+    {
+      "epoch": 29.41,
+      "learning_rate": 4.5653691275167796e-05,
+      "loss": 0.0023,
+      "step": 6500
+    },
+    {
+      "epoch": 29.41,
+      "eval_accuracy": 0.9822576707088793,
+      "eval_loss": 0.12343005836009979,
+      "eval_runtime": 2.6249,
+      "eval_samples_per_second": 193.151,
+      "eval_steps_per_second": 24.382,
+      "step": 6500
+    },
+    {
+      "epoch": 29.86,
+      "learning_rate": 4.511677852348993e-05,
+      "loss": 0.0028,
+      "step": 6600
+    },
+    {
+      "epoch": 30.32,
+      "learning_rate": 4.457986577181208e-05,
+      "loss": 0.0022,
+      "step": 6700
+    },
+    {
+      "epoch": 30.77,
+      "learning_rate": 4.404295302013423e-05,
+      "loss": 0.0021,
+      "step": 6800
+    },
+    {
+      "epoch": 31.22,
+      "learning_rate": 4.3506040268456375e-05,
+      "loss": 0.0022,
+      "step": 6900
+    },
+    {
+      "epoch": 31.67,
+      "learning_rate": 4.2969127516778523e-05,
+      "loss": 0.0022,
+      "step": 7000
+    },
+    {
+      "epoch": 31.67,
+      "eval_accuracy": 0.9826646048669325,
+      "eval_loss": 0.11375758796930313,
+      "eval_runtime": 2.6259,
+      "eval_samples_per_second": 193.08,
+      "eval_steps_per_second": 24.373,
+      "step": 7000
+    },
+    {
+      "epoch": 32.13,
+      "learning_rate": 4.243221476510067e-05,
+      "loss": 0.0017,
+      "step": 7100
+    },
+    {
+      "epoch": 32.58,
+      "learning_rate": 4.189530201342282e-05,
+      "loss": 0.0016,
+      "step": 7200
+    },
+    {
+      "epoch": 33.03,
+      "learning_rate": 4.135838926174497e-05,
+      "loss": 0.002,
+      "step": 7300
+    },
+    {
+      "epoch": 33.48,
+      "learning_rate": 4.0821476510067116e-05,
+      "loss": 0.0018,
+      "step": 7400
+    },
+    {
+      "epoch": 33.94,
+      "learning_rate": 4.0284563758389265e-05,
+      "loss": 0.0018,
+      "step": 7500
+    },
+    {
+      "epoch": 33.94,
+      "eval_accuracy": 0.9799788394237813,
+      "eval_loss": 0.13140234351158142,
+      "eval_runtime": 2.6023,
+      "eval_samples_per_second": 194.831,
+      "eval_steps_per_second": 24.594,
+      "step": 7500
+    },
+    {
+      "epoch": 34.39,
+      "learning_rate": 3.974765100671141e-05,
+      "loss": 0.0024,
+      "step": 7600
+    },
+    {
+      "epoch": 34.84,
+      "learning_rate": 3.921073825503356e-05,
+      "loss": 0.0018,
+      "step": 7700
+    },
+    {
+      "epoch": 35.29,
+      "learning_rate": 3.867382550335571e-05,
+      "loss": 0.0021,
+      "step": 7800
+    },
+    {
+      "epoch": 35.75,
+      "learning_rate": 3.813691275167786e-05,
+      "loss": 0.0013,
+      "step": 7900
+    },
+    {
+      "epoch": 36.2,
+      "learning_rate": 3.76e-05,
+      "loss": 0.0025,
+      "step": 8000
+    },
+    {
+      "epoch": 36.2,
+      "eval_accuracy": 0.9829087653617644,
+      "eval_loss": 0.11779461801052094,
+      "eval_runtime": 2.6153,
+      "eval_samples_per_second": 193.859,
+      "eval_steps_per_second": 24.471,
+      "step": 8000
+    },
+    {
+      "epoch": 36.2,
+      "step": 8000,
+      "total_flos": 3.3347033060634624e+16,
+      "train_loss": 0.021707101341336965,
+      "train_runtime": 2208.5517,
+      "train_samples_per_second": 217.337,
+      "train_steps_per_second": 6.792
+    }
+  ],
+  "max_steps": 15000,
+  "num_train_epochs": 68,
+  "total_flos": 3.3347033060634624e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f775cf1dac194a27871679edfa6ad270fc56e050bcf05cba720abc25f77c5382
+size 3387