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mt5-small-finetuned-cnn_dailymail – AI Model by IreNkweke | AlphaNeural AI
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IreNkweke
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mt5-small-finetuned-cnn_dailymail
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transformers
tensorboard
safetensors
mt5
text2text-generation
summarization
generated_from_trainer
google/mt5-small
finetune
apache-2.0
endpoints_compatible
us
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mt5-small-finetuned-cnn_dailymail
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: 2.3254
Rouge1: 27.84
Rouge2: 12.76
Rougel: 24.39
Rougelsum: 25.91
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
3.5881
1.0
3510
2.4243
26.44
11.33
22.82
24.39
2.7944
2.0
7020
2.3306
27.77
12.64
24.29
25.84
2.6698
3.0
10530
2.3254
27.84
12.76
24.39
25.91
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
