Upload .outputs/outputs with huggingface_hub

.outputs/outputs/README.md

@@ -0,0 +1,79 @@
+---
+language:
+- en
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+- f1
+model-index:
+- name: outputs
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE MRPC
+      type: glue
+      config: mrpc
+      split: validation
+      args: mrpc
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8382352941176471
+    - name: F1
+      type: f1
+      value: 0.8858131487889273
+---
+
+<!-- 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. -->
+
+# outputs
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the GLUE MRPC dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4122
+- Accuracy: 0.8382
+- F1: 0.8858
+- Combined Score: 0.8620
+
+## 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: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.2

.outputs/outputs/all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8382352941176471,
+    "eval_combined_score": 0.8620242214532872,
+    "eval_f1": 0.8858131487889273,
+    "eval_loss": 0.41217827796936035,
+    "eval_runtime": 291.4306,
+    "eval_samples": 408,
+    "eval_samples_per_second": 1.4,
+    "eval_steps_per_second": 0.175,
+    "train_loss": 0.42435946913732997,
+    "train_runtime": 23852.0469,
+    "train_samples": 3668,
+    "train_samples_per_second": 0.461,
+    "train_steps_per_second": 0.014
+}

.outputs/outputs/config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "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,
+  "id2label": {
+    "0": "not_equivalent",
+    "1": "equivalent"
+  },
+  "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": "4.27.0.dev0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

.outputs/outputs/eval_results.json

@@ -0,0 +1,11 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.8382352941176471,
+    "eval_combined_score": 0.8620242214532872,
+    "eval_f1": 0.8858131487889273,
+    "eval_loss": 0.41217827796936035,
+    "eval_runtime": 291.4306,
+    "eval_samples": 408,
+    "eval_samples_per_second": 1.4,
+    "eval_steps_per_second": 0.175
+}

.outputs/outputs/pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75a27b97669a7944a53aa483791e24e089477957d0a43cfa9e8d2344b11eb919
+size 433317237

.outputs/outputs/special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

.outputs/outputs/tokenizer_config.json

@@ -0,0 +1,13 @@
+{
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": null,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

.outputs/outputs/train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.42435946913732997,
+    "train_runtime": 23852.0469,
+    "train_samples": 3668,
+    "train_samples_per_second": 0.461,
+    "train_steps_per_second": 0.014
+}

.outputs/outputs/trainer_state.json

@@ -0,0 +1,127 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "global_step": 345,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.17,
+      "learning_rate": 1.8840579710144928e-05,
+      "loss": 0.7983,
+      "step": 20
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 1.7681159420289858e-05,
+      "loss": 0.572,
+      "step": 40
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 1.6521739130434785e-05,
+      "loss": 0.5752,
+      "step": 60
+    },
+    {
+      "epoch": 0.7,
+      "learning_rate": 1.536231884057971e-05,
+      "loss": 0.5497,
+      "step": 80
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 1.420289855072464e-05,
+      "loss": 0.55,
+      "step": 100
+    },
+    {
+      "epoch": 1.04,
+      "learning_rate": 1.3043478260869566e-05,
+      "loss": 0.5154,
+      "step": 120
+    },
+    {
+      "epoch": 1.22,
+      "learning_rate": 1.1884057971014494e-05,
+      "loss": 0.454,
+      "step": 140
+    },
+    {
+      "epoch": 1.39,
+      "learning_rate": 1.0724637681159422e-05,
+      "loss": 0.4264,
+      "step": 160
+    },
+    {
+      "epoch": 1.57,
+      "learning_rate": 9.565217391304349e-06,
+      "loss": 0.3859,
+      "step": 180
+    },
+    {
+      "epoch": 1.74,
+      "learning_rate": 8.405797101449275e-06,
+      "loss": 0.3716,
+      "step": 200
+    },
+    {
+      "epoch": 1.91,
+      "learning_rate": 7.246376811594203e-06,
+      "loss": 0.3997,
+      "step": 220
+    },
+    {
+      "epoch": 2.09,
+      "learning_rate": 6.086956521739132e-06,
+      "loss": 0.2949,
+      "step": 240
+    },
+    {
+      "epoch": 2.26,
+      "learning_rate": 4.927536231884059e-06,
+      "loss": 0.3072,
+      "step": 260
+    },
+    {
+      "epoch": 2.43,
+      "learning_rate": 3.768115942028986e-06,
+      "loss": 0.299,
+      "step": 280
+    },
+    {
+      "epoch": 2.61,
+      "learning_rate": 2.6086956521739132e-06,
+      "loss": 0.2413,
+      "step": 300
+    },
+    {
+      "epoch": 2.78,
+      "learning_rate": 1.4492753623188408e-06,
+      "loss": 0.2537,
+      "step": 320
+    },
+    {
+      "epoch": 2.96,
+      "learning_rate": 2.8985507246376816e-07,
+      "loss": 0.2804,
+      "step": 340
+    },
+    {
+      "epoch": 3.0,
+      "step": 345,
+      "total_flos": 723818513295360.0,
+      "train_loss": 0.42435946913732997,
+      "train_runtime": 23852.0469,
+      "train_samples_per_second": 0.461,
+      "train_steps_per_second": 0.014
+    }
+  ],
+  "max_steps": 345,
+  "num_train_epochs": 3,
+  "total_flos": 723818513295360.0,
+  "trial_name": null,
+  "trial_params": null
+}

.outputs/outputs/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b83a5e4844b6b6953f657cd3b5ce580549dbb1da8e8d8509d7791bb0fb4cd57
+size 3451