massive_intent – AI Model by emtadeveloper | AlphaNeural AI

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massive_intent

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google/mt5-small

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massive_intent

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5894

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
9.6225	1.0	352	4.8167
3.975	2.0	704	2.0456
2.2634	3.0	1056	1.2890
1.8345	4.0	1408	0.9723
1.3851	5.0	1760	0.7764
1.3563	6.0	2112	0.6790
1.2511	7.0	2464	0.6373
1.2352	8.0	2816	0.6073
1.0519	9.0	3168	0.5942
1.0937	10.0	3520	0.5894

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1