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andrewoh/
RoBERTa-finetuned-movie-reviews-sentiment-analysis

Name: RoBERTa-finetuned-movie-reviews-sentiment-analysis
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RoBERTa-finetuned-movie-reviews-sentiment-analysis

This model is a fine-tuned version of andrewoh/RoBERTa-finetuned-movie-reviews-accelerate on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1.4194319527311645e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 389
num_epochs: 4
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1872	1.0	2500	0.1862	0.9423	0.9423	0.9427	0.9421
0.1501	2.0	5000	0.2156	0.9472	0.9472	0.9475	0.9471
0.1075	3.0	7500	0.2425	0.945	0.9450	0.9454	0.9452
0.0629	4.0	10000	0.2558	0.9502	0.9502	0.9502	0.9502