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my-bert-model/README.md

@@ -0,0 +1,56 @@
+---
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: experiments
+  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. -->
+
+# experiments
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6007
+- Accuracy: 0.7978
+
+## 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: 256
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

my-bert-model/all_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.7977675640183848,
+    "eval_loss": 0.6006735563278198,
+    "eval_runtime": 12.7642,
+    "eval_samples": 1523,
+    "eval_samples_per_second": 119.318,
+    "eval_steps_per_second": 1.88,
+    "train_loss": 0.7252607345581055,
+    "train_runtime": 31.0515,
+    "train_samples": 6090,
+    "train_samples_per_second": 196.126,
+    "train_steps_per_second": 0.773
+}

my-bert-model/config.json

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+{
+  "_name_or_path": "bert-base-uncased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "finetuning_task": "text-classification",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "0",
+    "1": "1",
+    "2": "None"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 0,
+    "1": 1,
+    "None": 2
+  },
+  "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": "4.39.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

my-bert-model/eval_results.json

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+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.7977675640183848,
+    "eval_loss": 0.6006735563278198,
+    "eval_runtime": 12.7642,
+    "eval_samples": 1523,
+    "eval_samples_per_second": 119.318,
+    "eval_steps_per_second": 1.88
+}

my-bert-model/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8a5dc7efa60ffa16c5bbeb8fe131aabe24540495290ab99d45f7a6292e073d03
+size 437961724

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my-bert-model/special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

my-bert-model/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]"
+}

my-bert-model/train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.7252607345581055,
+    "train_runtime": 31.0515,
+    "train_samples": 6090,
+    "train_samples_per_second": 196.126,
+    "train_steps_per_second": 0.773
+}

my-bert-model/trainer_state.json

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+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 24,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
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+      "step": 24,
+      "total_flos": 1602360713963520.0,
+      "train_loss": 0.7252607345581055,
+      "train_runtime": 31.0515,
+      "train_samples_per_second": 196.126,
+      "train_steps_per_second": 0.773
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 24,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 1602360713963520.0,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}

my-bert-model/training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:74364f94117e70c7ccc73e343a47bdb2adcec282dadf8203383a2580314947e9
+size 4920