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clinical_longformer_same_tokens_1epochs_250k – AI Model by camilon | AlphaNeural AI
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clinical_longformer_same_tokens_1epochs_250k
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longformer
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camilon/clinical_longformer_same_tokens_1epochs_200k
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autotrain_compatible
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clinical_longformer_same_tokens_1epochs_250k
This model is a fine-tuned version of
camilon/clinical_longformer_same_tokens_1epochs_200k
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5640
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: 2e-05
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 64
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.7984
0.16
65
1.6415
1.8332
0.31
130
1.6324
1.7428
0.47
195
1.6149
1.8757
0.63
260
1.5976
1.7874
0.78
325
1.5924
1.8166
0.94
390
1.5640
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
