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Relacosm/
mca-sentiment-analyzer-v2

Name: mca-sentiment-analyzer-v2
Rating: 2.5 (7 reviews)

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mca-sentiment-analyzer-v2

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest 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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Macro	F1 Weighted
1.2893	0.1559	20	0.9350	0.6074	0.4810	0.4802
0.8368	0.3119	40	0.5051	0.8848	0.8833	0.8831
0.6255	0.4678	60	0.2471	0.9336	0.9341	0.9336
0.469	0.6238	80	0.1967	0.9297	0.9299	0.9295
0.3423	0.7797	100	0.1227	0.9551	0.9558	0.9553
0.3477	0.9357	120	0.1090	0.9668	0.9673	0.9669