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adl_hw1_qa_model2 – AI Model by b09501048 | AlphaNeural AI
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b09501048
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adl_hw1_qa_model2
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transformers
tensorboard
safetensors
bert
question-answering
generated_from_trainer
hfl/chinese-roberta-wwm-ext
finetune
apache-2.0
endpoints_compatible
us
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adl_hw1_qa_model2
This model is a fine-tuned version of
hfl/chinese-roberta-wwm-ext
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6794
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: 3e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
85
0.8146
No log
2.0
170
0.6870
No log
3.0
255
0.6794
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
