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unlearn_samsum_t5-small_bad_teaching_2_42 – AI Model by jialicheng | AlphaNeural AI
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unlearn_samsum_t5-small_bad_teaching_2_42
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t5
generated_from_trainer
samsum
google/t5-v1_1-small
finetune
apache-2.0
us
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samsum_42
This model is a fine-tuned version of
google/t5-v1_1-small
on the samsum dataset. It achieves the following results on the evaluation set:
eval_loss: 44.6744
eval_rouge1: 0.9086
eval_rouge2: 0.0
eval_rougeL: 0.9116
eval_rougeLsum: 0.9122
eval_gen_len: 127.0
eval_runtime: 106.1694
eval_samples_per_second: 7.705
eval_steps_per_second: 0.97
test_rougeL: 0.9116
df_rougeL: 0.9908
unlearn_overall_rougeL: 0.4604
eval_unlearn_overall_rougeL: 0.4604
unlearn_time: -1
step: 0
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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Framework versions
Transformers 4.39.3
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.15.2
