Delete sst2

sst2/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:
-- accuracy
-model-index:
-- name: sst2
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: GLUE SST2
-      type: glue
-      args: sst2
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9254587155963303
----
-
-<!-- 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. -->
-
-# sst2
-
-This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the GLUE SST2 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3458
-- Accuracy: 0.9255
-
-## 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: 3e-05
-- train_batch_size: 64
-- 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: 5.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.49.0
-- Pytorch 2.6.0+cu118
-- Datasets 3.3.1
-- Tokenizers 0.21.0

sst2/all_results.json

@@ -1,15 +0,0 @@
-{
-    "epoch": 5.0,
-    "eval_accuracy": 0.9254587155963303,
-    "eval_loss": 0.34582674503326416,
-    "eval_runtime": 1.7414,
-    "eval_samples": 872,
-    "eval_samples_per_second": 500.735,
-    "eval_steps_per_second": 62.592,
-    "total_flos": 2.260855007690496e+16,
-    "train_loss": 0.1158968044255647,
-    "train_runtime": 1593.6448,
-    "train_samples": 67349,
-    "train_samples_per_second": 211.305,
-    "train_steps_per_second": 3.304
-}

sst2/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": "sst2",
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "label2id": {
-    "negative": 0,
-    "positive": 1
-  },
-  "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
-}

sst2/eval_results.json

@@ -1,9 +0,0 @@
-{
-    "epoch": 5.0,
-    "eval_accuracy": 0.9254587155963303,
-    "eval_loss": 0.34582674503326416,
-    "eval_runtime": 1.7414,
-    "eval_samples": 872,
-    "eval_samples_per_second": 500.735,
-    "eval_steps_per_second": 62.592
-}

sst2/model.safetensors

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sst2/runs/May14_16-40-12_cs-Precision-7960-Tower/events.out.tfevents.1747255216.cs-Precision-7960-Tower.131188.0

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sst2/runs/May14_16-40-12_cs-Precision-7960-Tower/events.out.tfevents.1747256812.cs-Precision-7960-Tower.131188.1

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sst2/special_tokens_map.json

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

sst2/tokenizer_config.json

@@ -1,56 +0,0 @@
-{
-  "added_tokens_decoder": {
-    "0": {
-      "content": "[PAD]",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
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-  "do_lower_case": false,
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-  "model_max_length": 512,
-  "pad_token": "[PAD]",
-  "sep_token": "[SEP]",
-  "strip_accents": null,
-  "tokenize_chinese_chars": true,
-  "tokenizer_class": "BertTokenizer",
-  "unk_token": "[UNK]"
-}

sst2/train_results.json

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-{
-    "epoch": 5.0,
-    "total_flos": 2.260855007690496e+16,
-    "train_loss": 0.1158968044255647,
-    "train_runtime": 1593.6448,
-    "train_samples": 67349,
-    "train_samples_per_second": 211.305,
-    "train_steps_per_second": 3.304
-}

sst2/trainer_state.json

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-{
-  "best_metric": null,
-  "best_model_checkpoint": null,
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-  "eval_steps": 500,
-  "global_step": 5265,
-  "is_hyper_param_search": false,
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-  "is_world_process_zero": true,
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sst2/training_args.bin

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