delirium_roberta

Zamoranesis/delirium_roberta

delirium_roberta is a fill-mask model from Zamoranesis. Use it when you need the model to fill a missing word. It is set up for transformers.

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

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At a glance

Task: Fill-Mask
Library: transformers
Model type: roberta
Access: Public
Created: Oct 9, 2023
Updated: Oct 9, 2023
SHA: d4f5cde3

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Base models

allenai/biomed_roberta_base

Model card

From the Hugging Face model README

delirium_roberta

This model is a fine-tuned version of allenai/biomed_roberta_base. It achieves the following results on the evaluation set:

Loss: 0.3709

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: 0.0005
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 100
training_steps: 4000

Training results

Training Loss	Epoch	Step	Validation Loss
1.2088	0.4	100	0.8023
0.8075	0.8	200	0.7029
0.7404	1.2	300	0.6575
0.6826	1.6	400	0.6096
0.6578	2.0	500	0.5995
0.6525	2.4	600	0.5834
0.6223	2.8	700	0.5650
0.6	3.2	800	0.5464
0.5807	3.6	900	0.5312
0.5963	4.0	1000	0.5233
0.584	4.4	1100	0.5154
0.5508	4.8	1200	0.5049
0.5609	5.2	1300	0.4960
0.5397	5.6	1400	0.4851
0.5401	6.0	1500	0.4805
0.513	6.4	1600	0.4690
0.5247	6.8	1700	0.4647
0.5228	7.2	1800	0.4607
0.5142	7.6	1900	0.4534
0.5055	8.0	2000	0.4428
0.4942	8.4	2100	0.4338
0.4895	8.8	2200	0.4336
0.4874	9.2	2300	0.4221
0.4744	9.6	2400	0.4234
0.4743	10.0	2500	0.4139
0.4816	10.4	2600	0.4090
0.4733	10.8	2700	0.4077
0.4419	11.2	2800	0.4035
0.4552	11.6	2900	0.3989
0.4467	12.0	3000	0.3913
0.45	12.4	3100	0.3884
0.4551	12.8	3200	0.3864
0.4247	13.2	3300	0.3786
0.4432	13.6	3400	0.3874
0.4086	14.0	3500	0.3776
0.4308	14.4	3600	0.3711
0.4293	14.8	3700	0.3763
0.4235	15.2	3800	0.3733
0.4138	15.6	3900	0.3758
0.4156	16.0	4000	0.3709

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

Task: Fill-Mask
Library: transformers
Type: roberta
Created: Oct 9, 2023
Updated: Oct 9, 2023