bert/1

README.md

@@ -0,0 +1,82 @@
+---
+license: apache-2.0
+base_model: bert-base-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: '1'
+  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. -->
+
+# 1
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- F1: 0.0032
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 200
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 9.5074        | 0.18  | 10   | nan             | 0.0060 |
+| 8.5442        | 0.37  | 20   | nan             | 0.0102 |
+| 6.6803        | 0.55  | 30   | nan             | 0.0    |
+| 7.1123        | 0.73  | 40   | nan             | 0.0040 |
+| 9.1525        | 0.92  | 50   | nan             | 0.0044 |
+| 7.3704        | 1.1   | 60   | nan             | 0.0    |
+| 6.0446        | 1.28  | 70   | nan             | 0.0    |
+| 6.8367        | 1.47  | 80   | nan             | 0.0    |
+| 6.3409        | 1.65  | 90   | nan             | 0.0144 |
+| 7.3165        | 1.83  | 100  | nan             | 0.0    |
+| 6.2659        | 2.02  | 110  | nan             | 0.0    |
+| 5.7613        | 2.2   | 120  | nan             | 0.0    |
+| 6.3813        | 2.39  | 130  | nan             | 0.0044 |
+| 6.977         | 2.57  | 140  | nan             | 0.0102 |
+| 6.1388        | 2.75  | 150  | nan             | 0.0063 |
+| 8.3673        | 2.94  | 160  | nan             | 0.0013 |
+| 6.9132        | 3.12  | 170  | nan             | 0.0059 |
+| 7.4859        | 3.3   | 180  | nan             | 0.0    |
+| 6.5924        | 3.49  | 190  | nan             | 0.0061 |
+| 6.3331        | 3.67  | 200  | nan             | 0.0032 |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

added_tokens.json

@@ -0,0 +1,7 @@
+{
+  "[CLS]": 101,
+  "[MASK]": 103,
+  "[PAD]": 0,
+  "[SEP]": 102,
+  "[UNK]": 100
+}

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "bert-base-cased",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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": "4.34.0",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 28996
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72b0e64b3266bf68a6580f9e72e916f1ce67497fde62e9894e9195b3008692fb
+size 430952617

special_tokens_map.json

@@ -0,0 +1,8 @@
+{
+  "cls_token": "[CLS]",
+  "eos_token": "eos",
+  "mask_token": "[MASK]",
+  "pad_token": "eos",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,56 @@
+{
+  "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
+    }
+  },
+  "additional_special_tokens": [],
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "eos",
+  "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 sha256:9c515d2016b36f0094f53c1f6fd8aadf1a2fd65b51a90d478cd8cd01b4c6e395
+size 4027