second upload

eval_results.txt

@@ -16,3 +16,9 @@ Output: {
 Output: {
   "acc": 0.8952879581151832
 }
+Output: {
+  "acc": 0.8848167539267016
+}
+Output: {
+  "acc": 0.8942408376963351
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a5e3b777b2bf714cdfae54d26a454f91bc0d3ef85849c1c5ba62c53ea927eee
-size 438028546
+oid sha256:320c9a4ba868a02a3655b8c779c3ca299f464cec0bf294161c569c0a0a9dee05
+size 438028637

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8659718a49516d66a78bfdec68935bd3388309cb7e8e2b15358e156e460b478d
+oid sha256:c61bfa39869af640953612c6e458281863f40b0d3b70adff7db73883091b7d9b
 size 879

training_args.json

@@ -1 +1 @@
-{"model_path": "bert-base-uncased", "output_dir": "./finetuned_kaggle/", "data_dir": "./datasets/kaggle/", "max_seq_length": 256, "epoch": 5, "local_rank": -1, "task_name": "kaggle", "overwrite_cache": false, "learning_rate": 5e-05, "adam_epsilon": 1e-08, "train_batch_size": 16, "eval_batch_size": 64, "weight_decay": 0.1, "num_labels": 4, "train": true, "eval": true, "n_gpu": 1, "device": "cuda"}
+{"model_path": "bert-base-uncased", "output_dir": "./finetuned_kaggle/", "data_dir": "./datasets/kaggle/", "max_seq_length": 128, "epoch": 5, "local_rank": -1, "task_name": "kaggle", "overwrite_cache": false, "learning_rate": 5e-05, "adam_epsilon": 1e-08, "train_batch_size": 16, "eval_batch_size": 64, "weight_decay": 0.1, "num_labels": 4, "train": true, "eval": true, "n_gpu": 1, "device": "cuda"}