Initial commit

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-large-cased-en-cola_32_2e-05_lr_0.0001_decay_balanced
+  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. -->
+
+# roberta-large-cased-en-cola_32_2e-05_lr_0.0001_decay_balanced
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6823
+- Accuracy: 0.8729
+- Mcc: 0.6922
+
+## 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: 5.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2

all_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.872865275142315,
+    "eval_loss": 0.6823398470878601,
+    "eval_mcc": 0.6922192631495883,
+    "eval_runtime": 6.2001,
+    "eval_samples": 527,
+    "eval_samples_per_second": 84.998,
+    "eval_steps_per_second": 10.645,
+    "train_loss": 0.3620375732877361,
+    "train_runtime": 1547.3183,
+    "train_samples": 8551,
+    "train_samples_per_second": 27.632,
+    "train_steps_per_second": 0.866
+}

config.json

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+{
+  "_name_or_path": "roberta-large",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": 0,
+    "1": 1
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "0": 0,
+    "1": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

eval_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.872865275142315,
+    "eval_loss": 0.6823398470878601,
+    "eval_mcc": 0.6922192631495883,
+    "eval_runtime": 6.2001,
+    "eval_samples": 527,
+    "eval_samples_per_second": 84.998,
+    "eval_steps_per_second": 10.645
+}

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