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afriteva_large_trial2 – AI Model by ahmadmwali | AlphaNeural AI
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afriteva_large_trial2
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peft
tensorboard
safetensors
generated_from_trainer
castorini/afriteva_v2_large
adapter
apache-2.0
us
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afriteva_large_trial2
This model is a fine-tuned version of
castorini/afriteva_v2_large
on the None dataset. It achieves the following results on the evaluation set:
Bleu: 0.1221
F1: 0.3520
Wer: 0.9984
Cer: 0.8160
Meteor: 0.2637
Loss: nan
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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use 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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Bleu
F1
Wer
Cer
Meteor
Validation Loss
0.0
1.0
12500
0.1221
0.3520
0.9984
0.8160
0.2637
nan
0.0
2.0
25000
0.1221
0.3520
0.9984
0.8160
0.2637
nan
0.0
3.0
37500
0.1221
0.3520
0.9984
0.8160
0.2637
nan
Framework versions
PEFT 0.15.2
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
