Delete cola

cola/README.md

@@ -1,73 +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:
-- matthews_correlation
-model-index:
-- name: cola
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE COLA
-      type: glue
-      args: cola
-    metrics:
-    - name: Matthews Correlation
-      type: matthews_correlation
-      value: 0.6212584232587556
----
-
-<!-- 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. -->
-
-# cola
-
-This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the GLUE COLA dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.8440
-- Matthews Correlation: 0.6213
-
-## 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: 2.5e-05
-- train_batch_size: 32
-- 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: 6.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.49.0
-- Pytorch 2.6.0+cu118
-- Datasets 3.3.1
-- Tokenizers 0.21.0

cola/all_results.json

@@ -1,15 +0,0 @@
-{
-    "epoch": 6.0,
-    "eval_loss": 0.8439584374427795,
-    "eval_matthews_correlation": 0.6212584232587556,
-    "eval_runtime": 2.0452,
-    "eval_samples": 1043,
-    "eval_samples_per_second": 509.983,
-    "eval_steps_per_second": 64.053,
-    "total_flos": 3444607255477248.0,
-    "train_loss": 0.2595453208951808,
-    "train_runtime": 282.1547,
-    "train_samples": 8551,
-    "train_samples_per_second": 181.836,
-    "train_steps_per_second": 5.699
-}

cola/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": "cola",
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "label2id": {
-    "acceptable": 1,
-    "unacceptable": 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
-}

cola/eval_results.json

@@ -1,9 +0,0 @@
-{
-    "epoch": 6.0,
-    "eval_loss": 0.8439584374427795,
-    "eval_matthews_correlation": 0.6212584232587556,
-    "eval_runtime": 2.0452,
-    "eval_samples": 1043,
-    "eval_samples_per_second": 509.983,
-    "eval_steps_per_second": 64.053
-}

cola/model.safetensors

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cola/runs/May14_16-35-17_cs-Precision-7960-Tower/events.out.tfevents.1747254922.cs-Precision-7960-Tower.130992.0

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cola/runs/May14_16-35-17_cs-Precision-7960-Tower/events.out.tfevents.1747255207.cs-Precision-7960-Tower.130992.1

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cola/special_tokens_map.json

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

cola/tokenizer_config.json

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-{
-  "added_tokens_decoder": {
-    "0": {
-      "content": "[PAD]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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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]"
-}

cola/train_results.json

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-{
-    "epoch": 6.0,
-    "total_flos": 3444607255477248.0,
-    "train_loss": 0.2595453208951808,
-    "train_runtime": 282.1547,
-    "train_samples": 8551,
-    "train_samples_per_second": 181.836,
-    "train_steps_per_second": 5.699
-}

cola/trainer_state.json

@@ -1,63 +0,0 @@
-{
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 6.0,
-  "eval_steps": 500,
-  "global_step": 1608,
-  "is_hyper_param_search": false,
-  "is_local_process_zero": true,
-  "is_world_process_zero": true,
-  "log_history": [
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-      "epoch": 1.8656716417910446,
-      "grad_norm": 11.32163143157959,
-      "learning_rate": 1.722636815920398e-05,
-      "loss": 0.5103,
-      "step": 500
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-  "logging_steps": 500,
-  "max_steps": 1608,
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-  "num_train_epochs": 6,
-  "save_steps": 500,
-  "stateful_callbacks": {
-    "TrainerControl": {
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-        "should_epoch_stop": false,
-        "should_evaluate": false,
-        "should_log": false,
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-  "trial_name": null,
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-}

cola/training_args.bin

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