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_frozen
+  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_frozen
+
+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: 0.6793
+- Accuracy: 0.7400
+- Mcc: 0.3172
+
+## 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": 0.7400379506641366,
+    "eval_loss": 0.679286539554596,
+    "eval_mcc": 0.31716448882121695,
+    "eval_runtime": 6.2592,
+    "eval_samples": 527,
+    "eval_samples_per_second": 84.196,
+    "eval_steps_per_second": 10.545,
+    "train_loss": 0.6854999143685867,
+    "train_runtime": 534.5548,
+    "train_samples": 8551,
+    "train_samples_per_second": 79.982,
+    "train_steps_per_second": 2.507
+}

eval_results.json

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+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.7400379506641366,
+    "eval_loss": 0.679286539554596,
+    "eval_mcc": 0.31716448882121695,
+    "eval_runtime": 6.2592,
+    "eval_samples": 527,
+    "eval_samples_per_second": 84.196,
+    "eval_steps_per_second": 10.545
+}

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