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Ludo33/
e5_Eau_v4

Name: e5_Eau_v4
Availability: InStock

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e5_Eau_v4

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
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
label_smoothing_factor: 0.1

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.6724	1.0	74	0.5272	0.8167	0.8200
0.6907	2.0	148	0.2947	0.8742	0.8777
0.2007	3.0	222	0.2195	0.9231	0.9237
0.1678	4.0	296	0.2200	0.9223	0.9238
0.0963	5.0	370	0.2838	0.9164	0.9185
0.0783	6.0	444	0.2990	0.9172	0.9192
0.0722	7.0	518	0.3106	0.9147	0.9144