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Muhammad7777/
all-mpnet-base-v2-sentiment-twitter

Name: all-mpnet-base-v2-sentiment-twitter
Availability: InStock

generated_from_trainer

sentence-transformers/all-mpnet-base-v2

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all-mpnet-base-v2-sentiment-twitter

This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6390
Accuracy: 0.7169
F1: 0.7156
Precision: 0.7224
Recall: 0.7169

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
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_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.714	0.1754	500	0.7064	0.699	0.6941	0.7038	0.699
0.6676	0.3508	1000	0.6255	0.7225	0.7260	0.7353	0.7225
0.6394	0.5261	1500	0.6229	0.7265	0.7287	0.7371	0.7265
0.6408	0.7015	2000	0.6101	0.73	0.7250	0.7330	0.73
0.6069	0.8769	2500	0.5878	0.749	0.7500	0.7516	0.749
0.4633	1.0523	3000	0.6304	0.7485	0.7482	0.7548	0.7485
0.5003	1.2276	3500	0.6054	0.747	0.7486	0.7518	0.747
0.4594	1.4030	4000	0.6955	0.7205	0.7146	0.7315	0.7205
0.4721	1.5784	4500	0.5965	0.7555	0.7553	0.7565	0.7555
0.4601	1.7538	5000	0.6504	0.7385	0.7389	0.7436	0.7385
0.4762	1.9291	5500	0.5998	0.757	0.7564	0.7573	0.757
0.4	2.1045	6000	0.6574	0.7535	0.7533	0.7538	0.7535
0.4021	2.2799	6500	0.6714	0.75	0.7498	0.7505	0.75
0.3477	2.4553	7000	0.6803	0.7495	0.7495	0.7496	0.7495
0.3616	2.6307	7500	0.6996	0.745	0.7448	0.7459	0.745
0.3692	2.8060	8000	0.6872	0.748	0.7484	0.7502	0.748
0.3549	2.9814	8500	0.6903	0.749	0.7487	0.7499	0.749

Framework versions

Transformers 4.55.4
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.21.4

Muhammad7777/all-mpnet-base-v2-sentiment-twitter

all-mpnet-base-v2-sentiment-twitter

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Muhammad7777/
all-mpnet-base-v2-sentiment-twitter