checkpoints_2

BachNgoH/checkpoints_2

checkpoints_2 is a multiple choice model from BachNgoH. 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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Hugging Face

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At a glance

Task: multiple choice
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Nov 13, 2023
Updated: Nov 13, 2023
SHA: 194816f0

Base models

microsoft/deberta-v3-large

Model card

From the Hugging Face model README

checkpoints_2

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: 0.8543
Map@3: 0.7167

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: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Map@3
1.395	0.19	25	1.3859	0.5889
1.3803	0.37	50	1.3840	0.6958
1.3842	0.56	75	1.3314	0.7194
1.2795	0.74	100	1.0021	0.7222
0.9662	0.93	125	0.9006	0.6597
0.9574	1.11	150	0.8355	0.6903
0.8909	1.3	175	0.8506	0.6750
0.8077	1.48	200	0.8180	0.7125
0.955	1.67	225	0.8069	0.7097
0.8664	1.85	250	0.8186	0.7028
0.9396	2.04	275	0.8091	0.6986
0.8141	2.22	300	0.8212	0.7083
0.7898	2.41	325	0.8531	0.7167
0.9143	2.59	350	0.8482	0.7125
0.8861	2.78	375	0.8229	0.7083
0.8569	2.96	400	0.8372	0.7181
0.8381	3.15	425	0.8516	0.7153
0.7671	3.33	450	0.8458	0.7167
0.8704	3.52	475	0.8651	0.7222
0.8733	3.7	500	0.8356	0.7153
0.7309	3.89	525	0.8476	0.7181
0.7793	4.07	550	0.8566	0.7167
0.7849	4.26	575	0.8644	0.7167
0.7776	4.44	600	0.8584	0.7167
0.7573	4.63	625	0.8546	0.7167
0.8115	4.81	650	0.8543	0.7167
0.869	5.0	675	0.8543	0.7167

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1

Task: multiple choice
Library: transformers
Type: deberta-v2
License: mit
Created: Nov 13, 2023
Updated: Nov 13, 2023