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iTroned/
early_fusion_sentiment_False_hate_speech_False_extra_layer_True

Name: early_fusion_sentiment_False_hate_speech_False_extra_layer_True
Availability: InStock

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early_fusion_sentiment_False_hate_speech_False_extra_layer_True

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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
num_epochs: 1000

Training Loss	Epoch	Step	Validation Loss	Accuracy Offensive	F1 Offensive	Accuracy Targeted	F1 Targeted	Accuracy Stance	F1 Stance
0.7729	1.0	1324	0.7661	0.6545	0.5178	0.6545	0.5178	0.7009	0.5777
0.7485	2.0	2648	0.7450	0.6545	0.5178	0.6545	0.5178	0.7009	0.5777
0.7392	3.0	3972	0.7296	0.6552	0.5202	0.6545	0.5178	0.7009	0.5777
0.7234	4.0	5296	0.7074	0.6809	0.5866	0.6696	0.5596	0.7009	0.5777
0.7096	5.0	6620	0.6893	0.7051	0.6508	0.6949	0.6413	0.7009	0.5777
0.6984	6.0	7944	0.6785	0.7024	0.6349	0.6990	0.6405	0.7035	0.5847
0.6829	7.0	9268	0.6607	0.7130	0.6653	0.7168	0.6843	0.7156	0.6386
0.6721	8.0	10592	0.6508	0.7187	0.6681	0.7232	0.6870	0.7179	0.6476
0.6603	9.0	11916	0.6441	0.7228	0.6728	0.7307	0.6939	0.7209	0.6528
0.6481	10.0	13240	0.6331	0.7560	0.7341	0.7383	0.7193	0.7205	0.6766
0.641	11.0	14564	0.6242	0.7496	0.7193	0.7496	0.7244	0.7296	0.6768
0.6422	12.0	15888	0.6149	0.7523	0.7225	0.7489	0.7232	0.7281	0.6776
0.6197	13.0	17212	0.6071	0.7745	0.7597	0.7579	0.7405	0.7292	0.6911
0.6175	14.0	18536	0.5984	0.7742	0.7550	0.7610	0.7411	0.7383	0.6950
0.6209	15.0	19860	0.5916	0.7904	0.7807	0.7613	0.7441	0.7372	0.7015
0.5842	16.0	21184	0.5952	0.7591	0.7322	0.7655	0.7391	0.7379	0.6918
0.6166	17.0	22508	0.5812	0.7840	0.7690	0.7749	0.7544	0.7436	0.7011
0.5952	18.0	23832	0.5829	0.7662	0.7390	0.7761	0.7477	0.7428	0.6876
0.5956	19.0	25156	0.5852	0.7659	0.7379	0.7711	0.7427	0.7485	0.6937