Delete my-bert-model

my-bert-model/README.md

@@ -1,56 +0,0 @@
----
-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

@@ -1,14 +0,0 @@
-{
-    "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

@@ -1,38 +0,0 @@
-{
-  "_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

@@ -1,9 +0,0 @@
-{
-    "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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-oid sha256:8a5dc7efa60ffa16c5bbeb8fe131aabe24540495290ab99d45f7a6292e073d03
-size 437961724

my-bert-model/predict_results.txt

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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

@@ -1,55 +0,0 @@
-{
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-    "0": {
-      "content": "[PAD]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
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-      "special": true
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-  "model_max_length": 512,
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-  "sep_token": "[SEP]",
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}

my-bert-model/train_results.json

@@ -1,8 +0,0 @@
-{
-    "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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-{
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-  "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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-      "train_loss": 0.7252607345581055,
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-      "train_samples_per_second": 196.126,
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-  "num_train_epochs": 1,
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-  "total_flos": 1602360713963520.0,
-  "train_batch_size": 256,
-  "trial_name": null,
-  "trial_params": null
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my-bert-model/training_args.bin

@@ -1,3 +0,0 @@
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