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upload fine-tuned model

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README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - glue
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+ metrics:
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: bert-base-uncased-mrpc
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+ results:
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+ - task:
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+ name: Text Classification
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+ type: text-classification
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+ dataset:
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+ name: GLUE MRPC
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+ type: glue
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+ args: mrpc
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.8602941176470589
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+ - name: F1
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+ type: f1
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+ value: 0.9042016806722689
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert-base-uncased-5-256-16
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE MRPC dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6978
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+ - Accuracy: 0.8603
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+ - F1: 0.9042
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+ - Combined Score: 0.8822
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0
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+ - Pytorch 1.10.0+cu102
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+ - Datasets 1.14.0
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+ - Tokenizers 0.11.6
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+ {
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+ "epoch": 5.0,
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+ "eval_combined_score": 0.8822478991596638,
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+ "eval_f1": 0.9042016806722689,
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+ "eval_loss": 0.6977788209915161,
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+ "eval_runtime": 9.6009,
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+ "eval_samples": 408,
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+ "eval_samples_per_second": 42.496,
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+ "eval_steps_per_second": 5.312,
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+ "train_loss": 0.27140990464583686,
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+ "train_runtime": 1685.2933,
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+ "train_samples": 3668,
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+ "train_samples_per_second": 10.882,
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+ "train_steps_per_second": 0.682
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+ }
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+ {
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+ "_name_or_path": "bert-base-uncased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "finetuning_task": "mrpc",
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+ "gradient_checkpointing": false,
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+ "hidden_size": 768,
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+ "model_type": "bert",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ }
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