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Kamyar-zeinalipour/
mistral-7b-drug-prots_pair

Name: mistral-7b-drug-prots_pair
Availability: InStock

safetensors

mistral

generated_from_trainer

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mistral-7b-drug-prots_pair

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0454

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 5000

Training results

Training Loss	Epoch	Step	Validation Loss
0.1497	0.01	50	0.0787
0.0734	0.02	100	0.0740
0.0694	0.03	150	0.0688
0.0709	0.04	200	0.0679
0.0668	0.05	250	0.0662
0.0651	0.06	300	0.0643
0.0619	0.07	350	0.0627
0.0614	0.08	400	0.0627
0.0607	0.09	450	0.0612
0.0609	0.1	500	0.0601
0.0586	0.11	550	0.0596
0.0578	0.12	600	0.0590
0.0577	0.13	650	0.0584
0.0569	0.14	700	0.0580
0.0564	0.15	750	0.0575
0.0566	0.16	800	0.0569
0.0558	0.17	850	0.0562
0.0556	0.18	900	0.0556
0.0552	0.19	950	0.0551
0.0546	0.2	1000	0.0547
0.0544	0.21	1050	0.0543
0.0541	0.22	1100	0.0545
0.0532	0.23	1150	0.0536
0.0527	0.24	1200	0.0534
0.0526	0.25	1250	0.0525
0.0524	0.26	1300	0.0523
0.0518	0.27	1350	0.0517
0.0514	0.28	1400	0.0518
0.0507	0.29	1450	0.0516
0.0501	0.3	1500	0.0512
0.0493	0.31	1550	0.0508
0.0495	0.32	1600	0.0507
0.0484	0.33	1650	0.0506
0.0482	0.34	1700	0.0504
0.0477	0.35	1750	0.0501
0.0474	0.36	1800	0.0503
0.0467	0.37	1850	0.0501
0.0469	0.38	1900	0.0494
0.0462	0.39	1950	0.0492
0.0455	0.4	2000	0.0490
0.0456	0.41	2050	0.0486
0.0454	0.42	2100	0.0488
0.0452	0.43	2150	0.0487
0.0456	0.44	2200	0.0485
0.0444	0.45	2250	0.0484
0.0441	0.46	2300	0.0477
0.0439	0.47	2350	0.0476
0.0441	0.48	2400	0.0471
0.0437	0.49	2450	0.0475
0.0432	0.5	2500	0.0472
0.0428	0.51	2550	0.0471
0.0431	0.52	2600	0.0472
0.0425	0.53	2650	0.0467
0.0429	0.54	2700	0.0464
0.0421	0.55	2750	0.0464
0.0422	0.56	2800	0.0460
0.0417	0.57	2850	0.0464
0.0419	0.58	2900	0.0462
0.0407	0.59	2950	0.0461
0.0409	0.6	3000	0.0462
0.0408	0.61	3050	0.0459
0.04	0.62	3100	0.0458
0.0401	0.63	3150	0.0453
0.0398	0.64	3200	0.0454
0.0395	0.65	3250	0.0451
0.0395	0.66	3300	0.0452
0.0387	0.67	3350	0.0453
0.0384	0.68	3400	0.0454
0.0386	0.69	3450	0.0451
0.0385	0.7	3500	0.0451
0.0383	0.71	3550	0.0450
0.0385	0.72	3600	0.0448
0.0378	0.73	3650	0.0449
0.0378	0.74	3700	0.0448
0.0376	0.75	3750	0.0453
0.0376	0.76	3800	0.0453
0.0374	0.77	3850	0.0454
0.0376	0.78	3900	0.0454
0.0369	0.79	3950	0.0454
0.037	0.8	4000	0.0448
0.0367	0.81	4050	0.0451
0.0369	0.82	4100	0.0450
0.0366	0.83	4150	0.0449
0.0368	0.84	4200	0.0449
0.0361	0.85	4250	0.0453
0.037	0.86	4300	0.0454
0.0364	0.87	4350	0.0453
0.0356	0.88	4400	0.0453
0.0359	0.89	4450	0.0453
0.0357	0.9	4500	0.0455
0.0357	0.91	4550	0.0454
0.0351	0.92	4600	0.0464
0.0356	0.93	4650	0.0458
0.0353	0.94	4700	0.0460
0.0351	0.95	4750	0.0456
0.0348	0.96	4800	0.0456
0.0355	0.97	4850	0.0455
0.0354	0.98	4900	0.0454
0.0357	0.99	4950	0.0453
0.0356	1.0	5000	0.0454

Framework versions

Transformers 4.44.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Kamyar-zeinalipour/mistral-7b-drug-prots_pair

mistral-7b-drug-prots_pair

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Kamyar-zeinalipour/
mistral-7b-drug-prots_pair