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khilan-crest/
twitter-roberta-base-sentiment-latest_31122024T102024

Name: twitter-roberta-base-sentiment-latest_31122024T102024
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twitter-roberta-base-sentiment-latest_31122024T102024

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 200
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1	Rate
No log	0.9984	320	0.9292	0.5838	0.0000
1.1368	2.0	641	0.8737	0.6524	0.0000
1.1368	2.9984	961	0.8986	0.6770	0.0000
0.6845	4.0	1282	1.0021	0.6718	0.0000
0.4534	4.9922	1600	0.9983	0.6798	0.0