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upload fp32 model

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README.md CHANGED
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  ---
 
 
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  license: mit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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  license: mit
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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: roberta-base-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: 0.8774509803921569
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+ - name: F1
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+ type: f1
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+ value: 0.9137931034482758
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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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+ # roberta-base-mrpc
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the GLUE MRPC dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5565
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+ - Accuracy: 0.8775
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+ - F1: 0.9138
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+ - Combined Score: 0.8956
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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 4.18.0
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+ - Pytorch 1.10.0+cu102
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+ - Datasets 2.1.0
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+ - Tokenizers 0.11.6
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+ {
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+ "eval_combined_score": 0.8956220419202163,
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+ "eval_f1": 0.9137931034482758,
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+ "eval_loss": 0.5565009117126465,
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+ "eval_runtime": 10.3375,
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+ "eval_samples": 408,
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+ "eval_samples_per_second": 39.468,
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+ "eval_steps_per_second": 4.933,
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+ "train_loss": 0.2803073907935101,
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+ "train_runtime": 6011.5008,
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+ "train_samples": 3668,
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+ "train_samples_per_second": 3.051,
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+ "train_steps_per_second": 0.191
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+ }
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+ {
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+ "_name_or_path": "roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "layer_norm_eps": 1e-05,
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+ "model_type": "roberta",
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.18.0",
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+ "type_vocab_size": 1,
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+ }
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+ }
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