mt5-base_2 – AI Model by obokkkk | AlphaNeural AI

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mt5-base_2

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mt5-base_2

This model is a fine-tuned version of obokkkk/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1742
Bleu: 9.479
Gen Len: 16.9226

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	183	1.1834	9.3761	16.9129
No log	2.0	366	1.1791	9.422	16.9334
1.3969	3.0	549	1.1764	9.4432	16.9082
1.3969	4.0	732	1.1749	9.461	16.9157
1.3969	5.0	915	1.1742	9.479	16.9226

Framework versions

Transformers 4.18.0
Pytorch 1.11.0+cu113
Datasets 2.1.0
Tokenizers 0.12.1