Model import

config.json

@@ -0,0 +1,38 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "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",
+  "transformers_version": "4.3.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:208f1661fdd7c7acb25d88639b7b8d3c482072e3bbf2f809701de0ee9778cce7
+size 438028461

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe309d63ad06430c50123189e6ca0399e0f7f71b20fbde357abfee2f105a1ef3
+size 623

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": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-base-uncased"}

trainer_state.json

@@ -0,0 +1,110 @@
+{
+  "best_metric": 0.9162657932295468,
+  "best_model_checkpoint": "../output/bert-base-uncased-sst_bin/checkpoint-800",
+  "epoch": 3.686635944700461,
+  "global_step": 800,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.46,
+      "eval_accuracy": 0.8956422018348624,
+      "eval_f1": 0.8955816423073837,
+      "eval_loss": 0.2795850932598114,
+      "eval_precision": 0.8957204610192337,
+      "eval_recall": 0.8955018102214364,
+      "eval_runtime": 4.3773,
+      "eval_samples_per_second": 199.208,
+      "step": 100
+    },
+    {
+      "epoch": 0.92,
+      "eval_accuracy": 0.9071100917431193,
+      "eval_f1": 0.9071099695811189,
+      "eval_loss": 0.25760290026664734,
+      "eval_precision": 0.9073623893036986,
+      "eval_recall": 0.907394544076787,
+      "eval_runtime": 4.3715,
+      "eval_samples_per_second": 199.475,
+      "step": 200
+    },
+    {
+      "epoch": 1.38,
+      "eval_accuracy": 0.9013761467889908,
+      "eval_f1": 0.9011244014091935,
+      "eval_loss": 0.3114422559738159,
+      "eval_precision": 0.9033686440677966,
+      "eval_recall": 0.9007535572956133,
+      "eval_runtime": 4.3885,
+      "eval_samples_per_second": 198.699,
+      "step": 300
+    },
+    {
+      "epoch": 1.84,
+      "eval_accuracy": 0.9105504587155964,
+      "eval_f1": 0.9105499881638128,
+      "eval_loss": 0.3116317093372345,
+      "eval_precision": 0.9109770732015411,
+      "eval_recall": 0.9108992169739833,
+      "eval_runtime": 4.3848,
+      "eval_samples_per_second": 198.868,
+      "step": 400
+    },
+    {
+      "epoch": 2.3,
+      "learning_rate": 1.0783410138248848e-05,
+      "loss": 0.2779,
+      "step": 500
+    },
+    {
+      "epoch": 2.3,
+      "eval_accuracy": 0.908256880733945,
+      "eval_f1": 0.9082177722811356,
+      "eval_loss": 0.3516693711280823,
+      "eval_precision": 0.9082612265521379,
+      "eval_recall": 0.9081838848193988,
+      "eval_runtime": 4.3876,
+      "eval_samples_per_second": 198.74,
+      "step": 500
+    },
+    {
+      "epoch": 2.76,
+      "eval_accuracy": 0.9105504587155964,
+      "eval_f1": 0.9105123279741073,
+      "eval_loss": 0.35066622495651245,
+      "eval_precision": 0.9105560117055096,
+      "eval_recall": 0.9104782352445904,
+      "eval_runtime": 4.359,
+      "eval_samples_per_second": 200.046,
+      "step": 600
+    },
+    {
+      "epoch": 3.23,
+      "eval_accuracy": 0.911697247706422,
+      "eval_f1": 0.9116711109123222,
+      "eval_loss": 0.40561920404434204,
+      "eval_precision": 0.9116560640262672,
+      "eval_recall": 0.9116885577165952,
+      "eval_runtime": 4.3615,
+      "eval_samples_per_second": 199.932,
+      "step": 700
+    },
+    {
+      "epoch": 3.69,
+      "eval_accuracy": 0.9162844036697247,
+      "eval_f1": 0.9162657932295468,
+      "eval_loss": 0.4281376898288727,
+      "eval_precision": 0.9162339336353258,
+      "eval_recall": 0.9163193567399175,
+      "eval_runtime": 4.3626,
+      "eval_samples_per_second": 199.882,
+      "step": 800
+    }
+  ],
+  "max_steps": 1085,
+  "num_train_epochs": 5,
+  "total_flos": 2146529877411840,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:85595e652346b85e0e2044e7cb6525a63105c50718cbb87b4b95c24fec2fe56c
+size 2159