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": 13.22,
+    "eval_accuracy": 0.8568872987477638,
+    "eval_loss": 0.4852503538131714,
+    "eval_runtime": 8.4097,
+    "eval_samples": 1659,
+    "eval_samples_per_second": 197.272,
+    "eval_steps_per_second": 24.733,
+    "test_accuracy": 0.8621507197290432,
+    "test_loss": 0.45892825722694397,
+    "test_runtime": 8.5754,
+    "test_samples": 1684,
+    "test_samples_per_second": 196.375,
+    "test_steps_per_second": 24.605,
+    "train_loss": 0.310650390625,
+    "train_runtime": 1477.8296,
+    "train_samples": 13304,
+    "train_samples_per_second": 324.801,
+    "train_steps_per_second": 10.15
+}

config.json

@@ -0,0 +1,64 @@
+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "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,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65ac49fde839049dee41f55b5c0d6a782cbab66517c19fe8cef2a22c84e4bf39
+size 431017069

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-cased", "tokenizer_class": "BertTokenizer"}

trainer_state.json

@@ -0,0 +1,454 @@
+{
+  "best_metric": 0.8568872987477638,
+  "best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/bert/bert-base-finetuned-pos-ud-Hindi-HDTB/checkpoint-3000",
+  "epoch": 13.221153846153847,
+  "global_step": 5500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.24,
+      "learning_rate": 4.9500000000000004e-05,
+      "loss": 1.5512,
+      "step": 100
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 4.966778523489933e-05,
+      "loss": 0.7227,
+      "step": 200
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 4.933221476510068e-05,
+      "loss": 0.6046,
+      "step": 300
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 4.8996644295302016e-05,
+      "loss": 0.5466,
+      "step": 400
+    },
+    {
+      "epoch": 1.2,
+      "learning_rate": 4.8661073825503355e-05,
+      "loss": 0.5069,
+      "step": 500
+    },
+    {
+      "epoch": 1.2,
+      "eval_accuracy": 0.8260783144504075,
+      "eval_loss": 0.4958227276802063,
+      "eval_runtime": 8.4268,
+      "eval_samples_per_second": 196.872,
+      "eval_steps_per_second": 24.683,
+      "step": 500
+    },
+    {
+      "epoch": 1.44,
+      "learning_rate": 4.83255033557047e-05,
+      "loss": 0.4882,
+      "step": 600
+    },
+    {
+      "epoch": 1.68,
+      "learning_rate": 4.798993288590604e-05,
+      "loss": 0.4728,
+      "step": 700
+    },
+    {
+      "epoch": 1.92,
+      "learning_rate": 4.765436241610739e-05,
+      "loss": 0.4576,
+      "step": 800
+    },
+    {
+      "epoch": 2.16,
+      "learning_rate": 4.7318791946308726e-05,
+      "loss": 0.4339,
+      "step": 900
+    },
+    {
+      "epoch": 2.4,
+      "learning_rate": 4.698322147651007e-05,
+      "loss": 0.4185,
+      "step": 1000
+    },
+    {
+      "epoch": 2.4,
+      "eval_accuracy": 0.8392821648635602,
+      "eval_loss": 0.46815404295921326,
+      "eval_runtime": 8.5929,
+      "eval_samples_per_second": 193.067,
+      "eval_steps_per_second": 24.206,
+      "step": 1000
+    },
+    {
+      "epoch": 2.64,
+      "learning_rate": 4.664765100671141e-05,
+      "loss": 0.4086,
+      "step": 1100
+    },
+    {
+      "epoch": 2.88,
+      "learning_rate": 4.631208053691276e-05,
+      "loss": 0.4081,
+      "step": 1200
+    },
+    {
+      "epoch": 3.12,
+      "learning_rate": 4.5976510067114097e-05,
+      "loss": 0.3903,
+      "step": 1300
+    },
+    {
+      "epoch": 3.37,
+      "learning_rate": 4.564093959731544e-05,
+      "loss": 0.3658,
+      "step": 1400
+    },
+    {
+      "epoch": 3.61,
+      "learning_rate": 4.5305369127516775e-05,
+      "loss": 0.3701,
+      "step": 1500
+    },
+    {
+      "epoch": 3.61,
+      "eval_accuracy": 0.8504699434931993,
+      "eval_loss": 0.4506780803203583,
+      "eval_runtime": 8.4658,
+      "eval_samples_per_second": 195.965,
+      "eval_steps_per_second": 24.569,
+      "step": 1500
+    },
+    {
+      "epoch": 3.85,
+      "learning_rate": 4.496979865771812e-05,
+      "loss": 0.3701,
+      "step": 1600
+    },
+    {
+      "epoch": 4.09,
+      "learning_rate": 4.463422818791946e-05,
+      "loss": 0.3607,
+      "step": 1700
+    },
+    {
+      "epoch": 4.33,
+      "learning_rate": 4.4298657718120806e-05,
+      "loss": 0.3278,
+      "step": 1800
+    },
+    {
+      "epoch": 4.57,
+      "learning_rate": 4.3963087248322146e-05,
+      "loss": 0.3374,
+      "step": 1900
+    },
+    {
+      "epoch": 4.81,
+      "learning_rate": 4.362751677852349e-05,
+      "loss": 0.3336,
+      "step": 2000
+    },
+    {
+      "epoch": 4.81,
+      "eval_accuracy": 0.8520316892409916,
+      "eval_loss": 0.44800490140914917,
+      "eval_runtime": 8.4418,
+      "eval_samples_per_second": 196.522,
+      "eval_steps_per_second": 24.639,
+      "step": 2000
+    },
+    {
+      "epoch": 5.05,
+      "learning_rate": 4.329194630872484e-05,
+      "loss": 0.3316,
+      "step": 2100
+    },
+    {
+      "epoch": 5.29,
+      "learning_rate": 4.295637583892618e-05,
+      "loss": 0.2929,
+      "step": 2200
+    },
+    {
+      "epoch": 5.53,
+      "learning_rate": 4.262080536912752e-05,
+      "loss": 0.3,
+      "step": 2300
+    },
+    {
+      "epoch": 5.77,
+      "learning_rate": 4.228523489932886e-05,
+      "loss": 0.3029,
+      "step": 2400
+    },
+    {
+      "epoch": 6.01,
+      "learning_rate": 4.194966442953021e-05,
+      "loss": 0.3045,
+      "step": 2500
+    },
+    {
+      "epoch": 6.01,
+      "eval_accuracy": 0.854814436209785,
+      "eval_loss": 0.4508860409259796,
+      "eval_runtime": 8.4218,
+      "eval_samples_per_second": 196.99,
+      "eval_steps_per_second": 24.698,
+      "step": 2500
+    },
+    {
+      "epoch": 6.25,
+      "learning_rate": 4.161409395973155e-05,
+      "loss": 0.265,
+      "step": 2600
+    },
+    {
+      "epoch": 6.49,
+      "learning_rate": 4.127852348993289e-05,
+      "loss": 0.2695,
+      "step": 2700
+    },
+    {
+      "epoch": 6.73,
+      "learning_rate": 4.0942953020134226e-05,
+      "loss": 0.2749,
+      "step": 2800
+    },
+    {
+      "epoch": 6.97,
+      "learning_rate": 4.060738255033557e-05,
+      "loss": 0.2735,
+      "step": 2900
+    },
+    {
+      "epoch": 7.21,
+      "learning_rate": 4.027181208053691e-05,
+      "loss": 0.2419,
+      "step": 3000
+    },
+    {
+      "epoch": 7.21,
+      "eval_accuracy": 0.8568872987477638,
+      "eval_loss": 0.4852503538131714,
+      "eval_runtime": 8.4429,
+      "eval_samples_per_second": 196.497,
+      "eval_steps_per_second": 24.636,
+      "step": 3000
+    },
+    {
+      "epoch": 7.45,
+      "learning_rate": 3.993624161073826e-05,
+      "loss": 0.2386,
+      "step": 3100
+    },
+    {
+      "epoch": 7.69,
+      "learning_rate": 3.96006711409396e-05,
+      "loss": 0.241,
+      "step": 3200
+    },
+    {
+      "epoch": 7.93,
+      "learning_rate": 3.926510067114094e-05,
+      "loss": 0.2447,
+      "step": 3300
+    },
+    {
+      "epoch": 8.17,
+      "learning_rate": 3.892953020134228e-05,
+      "loss": 0.2193,
+      "step": 3400
+    },
+    {
+      "epoch": 8.41,
+      "learning_rate": 3.859395973154363e-05,
+      "loss": 0.2148,
+      "step": 3500
+    },
+    {
+      "epoch": 8.41,
+      "eval_accuracy": 0.855439134508902,
+      "eval_loss": 0.5063510537147522,
+      "eval_runtime": 8.6104,
+      "eval_samples_per_second": 192.673,
+      "eval_steps_per_second": 24.157,
+      "step": 3500
+    },
+    {
+      "epoch": 8.65,
+      "learning_rate": 3.825838926174497e-05,
+      "loss": 0.2085,
+      "step": 3600
+    },
+    {
+      "epoch": 8.89,
+      "learning_rate": 3.7922818791946313e-05,
+      "loss": 0.2195,
+      "step": 3700
+    },
+    {
+      "epoch": 9.13,
+      "learning_rate": 3.758724832214765e-05,
+      "loss": 0.2027,
+      "step": 3800
+    },
+    {
+      "epoch": 9.38,
+      "learning_rate": 3.725167785234899e-05,
+      "loss": 0.183,
+      "step": 3900
+    },
+    {
+      "epoch": 9.62,
+      "learning_rate": 3.691610738255034e-05,
+      "loss": 0.1883,
+      "step": 4000
+    },
+    {
+      "epoch": 9.62,
+      "eval_accuracy": 0.8551835761138087,
+      "eval_loss": 0.5312172174453735,
+      "eval_runtime": 8.4553,
+      "eval_samples_per_second": 196.208,
+      "eval_steps_per_second": 24.6,
+      "step": 4000
+    },
+    {
+      "epoch": 9.86,
+      "learning_rate": 3.658053691275168e-05,
+      "loss": 0.1903,
+      "step": 4100
+    },
+    {
+      "epoch": 10.1,
+      "learning_rate": 3.624496644295302e-05,
+      "loss": 0.1764,
+      "step": 4200
+    },
+    {
+      "epoch": 10.34,
+      "learning_rate": 3.590939597315436e-05,
+      "loss": 0.158,
+      "step": 4300
+    },
+    {
+      "epoch": 10.58,
+      "learning_rate": 3.557382550335571e-05,
+      "loss": 0.1643,
+      "step": 4400
+    },
+    {
+      "epoch": 10.82,
+      "learning_rate": 3.523825503355705e-05,
+      "loss": 0.1642,
+      "step": 4500
+    },
+    {
+      "epoch": 10.82,
+      "eval_accuracy": 0.852003293863759,
+      "eval_loss": 0.5592557787895203,
+      "eval_runtime": 8.4747,
+      "eval_samples_per_second": 195.759,
+      "eval_steps_per_second": 24.544,
+      "step": 4500
+    },
+    {
+      "epoch": 11.06,
+      "learning_rate": 3.4902684563758394e-05,
+      "loss": 0.1645,
+      "step": 4600
+    },
+    {
+      "epoch": 11.3,
+      "learning_rate": 3.456711409395973e-05,
+      "loss": 0.1353,
+      "step": 4700
+    },
+    {
+      "epoch": 11.54,
+      "learning_rate": 3.423154362416108e-05,
+      "loss": 0.1462,
+      "step": 4800
+    },
+    {
+      "epoch": 11.78,
+      "learning_rate": 3.389597315436242e-05,
+      "loss": 0.1451,
+      "step": 4900
+    },
+    {
+      "epoch": 12.02,
+      "learning_rate": 3.356040268456376e-05,
+      "loss": 0.1488,
+      "step": 5000
+    },
+    {
+      "epoch": 12.02,
+      "eval_accuracy": 0.8523156430133174,
+      "eval_loss": 0.587023913860321,
+      "eval_runtime": 8.4932,
+      "eval_samples_per_second": 195.333,
+      "eval_steps_per_second": 24.49,
+      "step": 5000
+    },
+    {
+      "epoch": 12.26,
+      "learning_rate": 3.32248322147651e-05,
+      "loss": 0.1163,
+      "step": 5100
+    },
+    {
+      "epoch": 12.5,
+      "learning_rate": 3.288926174496644e-05,
+      "loss": 0.1224,
+      "step": 5200
+    },
+    {
+      "epoch": 12.74,
+      "learning_rate": 3.255369127516779e-05,
+      "loss": 0.1281,
+      "step": 5300
+    },
+    {
+      "epoch": 12.98,
+      "learning_rate": 3.221812080536913e-05,
+      "loss": 0.1305,
+      "step": 5400
+    },
+    {
+      "epoch": 13.22,
+      "learning_rate": 3.1882550335570474e-05,
+      "loss": 0.1027,
+      "step": 5500
+    },
+    {
+      "epoch": 13.22,
+      "eval_accuracy": 0.8522588522588522,
+      "eval_loss": 0.6439880132675171,
+      "eval_runtime": 8.5081,
+      "eval_samples_per_second": 194.991,
+      "eval_steps_per_second": 24.447,
+      "step": 5500
+    },
+    {
+      "epoch": 13.22,
+      "step": 5500,
+      "total_flos": 2.298364364453069e+16,
+      "train_loss": 0.310650390625,
+      "train_runtime": 1477.8296,
+      "train_samples_per_second": 324.801,
+      "train_steps_per_second": 10.15
+    }
+  ],
+  "max_steps": 15000,
+  "num_train_epochs": 37,
+  "total_flos": 2.298364364453069e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eae63cd82c77e0e9be7f18580a1041faa821b70fc4658b1980426e2ce77de5a4
+size 3387