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Ludo33/
e5_Eau_Multilabel_Topic_Sentiment

Name: e5_Eau_Multilabel_Topic_Sentiment
Availability: InStock

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e5_Eau_Multilabel_Topic_Sentiment

This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct 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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	F1 Topic	F1 Sentiment	F1 Macro Avg
0.5731	1.0	148	0.4031	0.4584	0.6075	0.5330
0.2812	2.0	296	0.1726	0.7873	0.8019	0.7946
0.1396	3.0	444	0.1214	0.8694	0.8576	0.8635
0.0982	4.0	592	0.1244	0.8886	0.8643	0.8765
0.0732	5.0	740	0.1311	0.9118	0.8850	0.8984
0.0508	6.0	888	0.1566	0.9104	0.8933	0.9019