Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization – AI Model by MayBashendy | AlphaNeural AI

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MayBashendy/
Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization

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google/mt5-small

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Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization

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

Loss: 60.2188

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: 4
eval_batch_size: 4
seed: 42
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
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0107	2	60.25
No log	0.0214	4	60.2188
No log	0.0321	6	60.2188
No log	0.0428	8	60.2188
No log	0.0535	10	60.2188
No log	0.0642	12	60.2188
No log	0.0749	14	60.2188

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0