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t5-large-cnndm – AI Model by navjordj | AlphaNeural AI
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t5-large-cnndm
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
jkorsvik/cnn_daily_mail_nor_final
text-generation-inference
endpoints_compatible
us
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t5-large-cnndaily
This model is a fine-tuned version of
t5-large-cnndaily/checkpoint-10318
on the jkorsvik/cnn_daily_mail_nor_final dataset. It achieves the following results on the evaluation set:
eval_loss: 1.8011
eval_rouge1: 32.6372
eval_rouge2: 12.4352
eval_rougeL: 22.9598
eval_rougeLsum: 30.3946
eval_gen_len: 65.1487
eval_runtime: 167.4595
eval_samples_per_second: 21.205
eval_steps_per_second: 0.167
step: 11792
Model description
wandb logs:
https://wandb.ai/navjordj/huggingface/runs/zrx32j09?workspace=user-navjordj
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: 4
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0
Framework versions
Transformers 4.27.0.dev0
Pytorch 1.13.1
Datasets 2.10.1
Tokenizers 0.13.2
