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usakha/Bart_MedPaper_model
Bart_MedPaper_model is a summarization model from usakha. Use it when you need a shorter version of a longer text. It is set up for transformers.
learningrate=2e-5 perdevicetrainbatchsize=14 perdeviceevalbatchsize=14 weightdecay=0.01 savetotallimit=3 numtrainepochs=3 predictwithgenerate=True fp16=True
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From the Hugging Face model README
learning_rate=2e-5
per_device_train_batch_size=14
per_device_eval_batch_size=14
weight_decay=0.01
save_total_limit=3
num_train_epochs=3
predict_with_generate=True
fp16=True
global_step=4248,
training_loss=2.172659089111788,
metrics={'train_runtime': 3371.7912,
'train_samples_per_second': 17.633,
'train_steps_per_second': 1.26,
'total_flos': 1.2884303701396685e+17,
'train_loss': 2.172659089111788,
'epoch': 3.0}
| Epoch | Training Loss | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1 | 2.318000 | 2.079500 | 0.128100 | 0.046700 | 0.104200 | 0.104200 | 0.001100 | 20.000000 |
| 2 | 2.130000 | 2.043523 | 0.130200 | 0.047400 | 0.105400 | 0.105300 | 0.001300 | 20.000000 |
| 3 | 2.047100 | 2.034664 | 0.130700 | 0.047800 | 0.105900 | 0.105900 | 0.001300 | 20.000000 |