adl_hw1_qa_model

b09501048/adl_hw1_qa_model

adl_hw1_qa_model is a question answering model from b09501048. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Sep 21, 2024
Updated: Sep 21, 2024
SHA: 0b98ed15

Try a prompt

Base models

distilbert/distilbert-base-multilingual-cased

Model card

From the Hugging Face model README

adl_hw1_qa_model

This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.4525

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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	0.9956	169	1.9320
No log	1.9971	339	1.5318
2.0835	2.9867	507	1.4525

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Sep 21, 2024
Updated: Sep 21, 2024