Delete mrpc

mrpc/README.md

@@ -1,79 +0,0 @@
----
-library_name: transformers
-language:
-- en
-license: apache-2.0
-base_model: google-bert/bert-base-cased
-tags:
-- generated_from_trainer
-datasets:
-- glue
-metrics:
-- accuracy
-- f1
-model-index:
-- name: mrpc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE MRPC
-      type: glue
-      args: mrpc
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8725490196078431
-    - name: F1
-      type: f1
-      value: 0.910958904109589
----
-
-<!-- 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. -->
-
-# mrpc
-
-This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the GLUE MRPC dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5399
-- Accuracy: 0.8725
-- F1: 0.9110
-- Combined Score: 0.8918
-
-## 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: 8
-- seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 4.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.49.0
-- Pytorch 2.6.0+cu118
-- Datasets 3.3.1
-- Tokenizers 0.21.0

mrpc/all_results.json

@@ -1,17 +0,0 @@
-{
-    "epoch": 4.0,
-    "eval_accuracy": 0.8725490196078431,
-    "eval_combined_score": 0.891753961858716,
-    "eval_f1": 0.910958904109589,
-    "eval_loss": 0.5399143695831299,
-    "eval_runtime": 0.8251,
-    "eval_samples": 408,
-    "eval_samples_per_second": 494.496,
-    "eval_steps_per_second": 61.812,
-    "total_flos": 985055893118976.0,
-    "train_loss": 0.3395414849986201,
-    "train_runtime": 89.4666,
-    "train_samples": 3668,
-    "train_samples_per_second": 163.994,
-    "train_steps_per_second": 10.283
-}

mrpc/config.json

@@ -1,32 +0,0 @@
-{
-  "_name_or_path": "google-bert/bert-base-cased",
-  "architectures": [
-    "BertForSequenceClassification"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "classifier_dropout": null,
-  "finetuning_task": "mrpc",
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "label2id": {
-    "equivalent": 1,
-    "not_equivalent": 0
-  },
-  "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": "4.49.0",
-  "type_vocab_size": 2,
-  "use_cache": true,
-  "vocab_size": 28996
-}

mrpc/eval_results.json

@@ -1,11 +0,0 @@
-{
-    "epoch": 4.0,
-    "eval_accuracy": 0.8725490196078431,
-    "eval_combined_score": 0.891753961858716,
-    "eval_f1": 0.910958904109589,
-    "eval_loss": 0.5399143695831299,
-    "eval_runtime": 0.8251,
-    "eval_samples": 408,
-    "eval_samples_per_second": 494.496,
-    "eval_steps_per_second": 61.812
-}

mrpc/model.safetensors

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mrpc/runs/May14_17-06-57_cs-Precision-7960-Tower/events.out.tfevents.1747256822.cs-Precision-7960-Tower.131643.0

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mrpc/runs/May14_17-06-57_cs-Precision-7960-Tower/events.out.tfevents.1747256913.cs-Precision-7960-Tower.131643.1

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mrpc/special_tokens_map.json

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

mrpc/tokenizer_config.json

@@ -1,56 +0,0 @@
-{
-  "added_tokens_decoder": {
-    "0": {
-      "content": "[PAD]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "100": {
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-      "rstrip": false,
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-      "single_word": false,
-      "special": true
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-  },
-  "clean_up_tokenization_spaces": false,
-  "cls_token": "[CLS]",
-  "do_lower_case": false,
-  "extra_special_tokens": {},
-  "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]"
-}

mrpc/train_results.json

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-{
-    "epoch": 4.0,
-    "total_flos": 985055893118976.0,
-    "train_loss": 0.3395414849986201,
-    "train_runtime": 89.4666,
-    "train_samples": 3668,
-    "train_samples_per_second": 163.994,
-    "train_steps_per_second": 10.283
-}

mrpc/trainer_state.json

@@ -1,49 +0,0 @@
-{
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 4.0,
-  "eval_steps": 500,
-  "global_step": 920,
-  "is_hyper_param_search": false,
-  "is_local_process_zero": true,
-  "is_world_process_zero": true,
-  "log_history": [
-    {
-      "epoch": 2.1739130434782608,
-      "grad_norm": 3.317793846130371,
-      "learning_rate": 9.130434782608697e-06,
-      "loss": 0.5041,
-      "step": 500
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-    {
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-      "train_samples_per_second": 163.994,
-      "train_steps_per_second": 10.283
-    }
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-  "logging_steps": 500,
-  "max_steps": 920,
-  "num_input_tokens_seen": 0,
-  "num_train_epochs": 4,
-  "save_steps": 500,
-  "stateful_callbacks": {
-    "TrainerControl": {
-      "args": {
-        "should_epoch_stop": false,
-        "should_evaluate": false,
-        "should_log": false,
-        "should_save": true,
-        "should_training_stop": true
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-      "attributes": {}
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-  "train_batch_size": 16,
-  "trial_name": null,
-  "trial_params": null
-}

mrpc/training_args.bin

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