checkpoints_28_9_microsoft_deberta_V5

VuongQuoc/checkpoints_28_9_microsoft_deberta_V5

checkpoints_28_9_microsoft_deberta_V5 is a multiple choice model from VuongQuoc. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: multiple choice
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Sep 28, 2023
Updated: Oct 8, 2023
SHA: 87897674

Base models

microsoft/deberta-v3-large

Model card

From the Hugging Face model README

checkpoints_28_9_microsoft_deberta_V5

This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6408
Map@3: 0.8542
Accuracy: 0.76

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Map@3	Accuracy
1.6111	0.05	25	1.6092	0.5092	0.325
1.6139	0.11	50	1.6085	0.7	0.575
1.6096	0.16	75	1.5867	0.7583	0.645
1.2905	0.21	100	1.1496	0.7767	0.66
1.0263	0.27	125	0.8628	0.8067	0.705
0.9475	0.32	150	0.7252	0.8458	0.75
0.841	0.37	175	0.7018	0.8492	0.76
0.8301	0.43	200	0.7137	0.8492	0.755
0.823	0.48	225	0.6633	0.8525	0.755
0.8263	0.53	250	0.6751	0.8608	0.765
0.7962	0.59	275	0.6704	0.8542	0.755
0.8013	0.64	300	0.6583	0.8525	0.755
0.789	0.69	325	0.6497	0.8533	0.76
0.7979	0.75	350	0.6512	0.8525	0.755
0.7751	0.8	375	0.6445	0.8583	0.765
0.7993	0.85	400	0.6424	0.8558	0.765
0.7685	0.91	425	0.6408	0.8542	0.76
0.7807	0.96	450	0.6408	0.8542	0.76

Framework versions

Transformers 4.32.1
Pytorch 2.0.0
Datasets 2.9.0
Tokenizers 0.13.3

Task: multiple choice
Library: transformers
Type: deberta-v2
License: mit
Created: Sep 28, 2023
Updated: Oct 8, 2023