metadata

license: apache-2.0
base_model: google/t5-efficient-tiny
tags:
  - generated_from_trainer
model-index:
  - name: medication-single-t5-tiny
    results: []

medication-single-t5-tiny

This model is a fine-tuned version of google/t5-efficient-tiny on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0212

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: 0.004
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.03
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.321	0.08	100	0.6658
0.5928	0.16	200	0.3980
0.4394	0.23	300	0.2642
0.3582	0.31	400	0.2266
0.3174	0.39	500	0.1874
0.2776	0.47	600	0.1702
0.2286	0.55	700	0.1357
0.2052	0.63	800	0.1147
0.1962	0.7	900	0.0933
0.1641	0.78	1000	0.0771
0.1613	0.86	1100	0.0759
0.1482	0.94	1200	0.0677
0.1128	1.02	1300	0.0574
0.1139	1.09	1400	0.0509
0.1021	1.17	1500	0.0465
0.1013	1.25	1600	0.0449
0.0854	1.33	1700	0.0394
0.0839	1.41	1800	0.0375
0.0972	1.49	1900	0.0377
0.0775	1.56	2000	0.0352
0.0682	1.64	2100	0.0324
0.0676	1.72	2200	0.0310
0.0633	1.8	2300	0.0284
0.0608	1.88	2400	0.0279
0.0571	1.95	2500	0.0270
0.0557	2.03	2600	0.0259
0.0561	2.11	2700	0.0273
0.0542	2.19	2800	0.0247
0.0542	2.27	2900	0.0241
0.0514	2.35	3000	0.0248
0.0471	2.42	3100	0.0240
0.042	2.5	3200	0.0225
0.0547	2.58	3300	0.0221
0.0462	2.66	3400	0.0216
0.0444	2.74	3500	0.0216
0.0434	2.81	3600	0.0213
0.0374	2.89	3700	0.0213
0.0404	2.97	3800	0.0212

Framework versions

Transformers 4.35.2
Pytorch 2.0.1+cu117
Datasets 2.14.7
Tokenizers 0.14.1