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bbc_model_output – AI Model by oslusarczyk | AlphaNeural AI
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bbc_model_output
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
xsum
google-t5/t5-small
finetune
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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bbc_model_output
This model is a fine-tuned version of
google-t5/t5-small
on the xsum dataset. It achieves the following results on the evaluation set:
Loss: 2.8428
Rouge1: 0.2209
Rouge2: 0.0377
Rougel: 0.1677
Rougelsum: 0.1677
Gen Len: 19.17
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
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: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
50
2.8602
0.207
0.0363
0.1593
0.1595
19.235
No log
2.0
100
2.8428
0.2209
0.0377
0.1677
0.1677
19.17
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cpu
Datasets 3.6.0
Tokenizers 0.21.1
