bert-cased

README.md

@@ -0,0 +1,89 @@
+---
+license: apache-2.0
+base_model: bert-large-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-large-22
+  results: []
+---
+
+<!-- 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-large-22
+
+This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.9292
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 6.0375        | 0.09  | 5    | 6.0219          |
+| 6.0415        | 0.18  | 10   | 6.0159          |
+| 6.0408        | 0.27  | 15   | 6.0100          |
+| 5.9961        | 0.36  | 20   | 6.0042          |
+| 6.0668        | 0.45  | 25   | 5.9988          |
+| 6.0106        | 0.55  | 30   | 5.9936          |
+| 6.0434        | 0.64  | 35   | 5.9886          |
+| 5.9975        | 0.73  | 40   | 5.9838          |
+| 6.025         | 0.82  | 45   | 5.9792          |
+| 5.9994        | 0.91  | 50   | 5.9746          |
+| 5.9914        | 1.0   | 55   | 5.9704          |
+| 5.9746        | 1.09  | 60   | 5.9667          |
+| 5.9869        | 1.18  | 65   | 5.9629          |
+| 5.9517        | 1.27  | 70   | 5.9593          |
+| 5.9952        | 1.36  | 75   | 5.9562          |
+| 5.9493        | 1.45  | 80   | 5.9531          |
+| 5.9658        | 1.55  | 85   | 5.9503          |
+| 5.9816        | 1.64  | 90   | 5.9480          |
+| 5.9311        | 1.73  | 95   | 5.9456          |
+| 5.9632        | 1.82  | 100  | 5.9433          |
+| 5.9399        | 1.91  | 105  | 5.9413          |
+| 5.935         | 2.0   | 110  | 5.9393          |
+| 5.9181        | 2.09  | 115  | 5.9375          |
+| 5.8885        | 2.18  | 120  | 5.9360          |
+| 5.9249        | 2.27  | 125  | 5.9344          |
+| 5.9314        | 2.36  | 130  | 5.9335          |
+| 5.904         | 2.45  | 135  | 5.9321          |
+| 5.9061        | 2.55  | 140  | 5.9313          |
+| 5.932         | 2.64  | 145  | 5.9306          |
+| 5.9327        | 2.73  | 150  | 5.9300          |
+| 5.9391        | 2.82  | 155  | 5.9296          |
+| 5.9608        | 2.91  | 160  | 5.9293          |
+| 5.9388        | 3.0   | 165  | 5.9292          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "bert-large-uncased",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "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 sha256:1d6be7f0993150a9e4103def2f94d1ebfe63502b2525c6661797a29e4960a3fd
+size 1336511145

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8b3b6eedb5f11254881f7255ddbeb974df57325f4b933e29d5f706e5f8fabd1d
+size 4091