add model

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

README.md

@@ -0,0 +1,95 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- yahoo_answers_topics
+metrics:
+- accuracy
+model-index:
+- name: bert-base-uncased-yahoo_answers_topics
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: yahoo_answers_topics
+      type: yahoo_answers_topics
+      args: yahoo_answers_topics
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7499166666666667
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-base-uncased-yahoo_answers_topics
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the yahoo_answers_topics dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8092
+- Accuracy: 0.7499
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 86625
+- training_steps: 866250
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 2.162         | 0.01  | 2000  | 1.7444          | 0.5681   |
+| 1.3126        | 0.02  | 4000  | 1.0081          | 0.7054   |
+| 0.9592        | 0.03  | 6000  | 0.9021          | 0.7234   |
+| 0.8903        | 0.05  | 8000  | 0.8827          | 0.7276   |
+| 0.8685        | 0.06  | 10000 | 0.8540          | 0.7341   |
+| 0.8422        | 0.07  | 12000 | 0.8547          | 0.7365   |
+| 0.8535        | 0.08  | 14000 | 0.8264          | 0.7372   |
+| 0.8178        | 0.09  | 16000 | 0.8331          | 0.7389   |
+| 0.8325        | 0.1   | 18000 | 0.8242          | 0.7411   |
+| 0.8181        | 0.12  | 20000 | 0.8356          | 0.7437   |
+| 0.8171        | 0.13  | 22000 | 0.8090          | 0.7451   |
+| 0.8092        | 0.14  | 24000 | 0.8469          | 0.7392   |
+| 0.8057        | 0.15  | 26000 | 0.8185          | 0.7478   |
+| 0.8085        | 0.16  | 28000 | 0.8090          | 0.7467   |
+| 0.8229        | 0.17  | 30000 | 0.8225          | 0.7417   |
+| 0.8151        | 0.18  | 32000 | 0.8262          | 0.7419   |
+| 0.81          | 0.2   | 34000 | 0.8149          | 0.7383   |
+| 0.8073        | 0.21  | 36000 | 0.8225          | 0.7441   |
+| 0.816         | 0.22  | 38000 | 0.8037          | 0.744    |
+| 0.8217        | 0.23  | 40000 | 0.8409          | 0.743    |
+| 0.82          | 0.24  | 42000 | 0.8286          | 0.7385   |
+| 0.8101        | 0.25  | 44000 | 0.8282          | 0.7413   |
+| 0.8254        | 0.27  | 46000 | 0.8170          | 0.7414   |
+
+
+### Framework versions
+
+- Transformers 4.10.2
+- Pytorch 1.7.1
+- Datasets 1.6.1
+- Tokenizers 0.10.3

config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4",
+    "5": "LABEL_5",
+    "6": "LABEL_6",
+    "7": "LABEL_7",
+    "8": "LABEL_8",
+    "9": "LABEL_9"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4,
+    "LABEL_5": 5,
+    "LABEL_6": 6,
+    "LABEL_7": 7,
+    "LABEL_8": 8,
+    "LABEL_9": 9
+  },
+  "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",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.2",
+  "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:c6f55fd02f4bb891184c03c9f9b76880443e76754ff00b3bdffd9242ade0a8be
+size 438048639

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, "special_tokens_map_file": null, "name_or_path": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63bac170019cba931020037a3ad6efa5b4ccc16343ec3452877c6754904e42c7
+size 2607