You can deploy this model and start earning money today!

acmc/
mistral-7b-instruct-autextification2024

Name: mistral-7b-instruct-autextification2024
Availability: InStock

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.1

adapter

apache-2.0

Views

No views yet

mistral-7b-instruct-autextification2024

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8230

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
1.7076	0.0	10	2.0916
1.54	0.01	20	2.0382
2.0394	0.01	30	1.9987
2.3388	0.01	40	1.9706
3.0378	0.02	50	1.9866
1.511	0.02	60	1.9453
1.6499	0.02	70	1.9309
1.9693	0.03	80	1.9168
2.2389	0.03	90	1.9169
2.7812	0.03	100	1.9367
1.542	0.04	110	1.9202
1.574	0.04	120	1.9088
1.9916	0.04	130	1.8989
2.081	0.05	140	1.8862
2.768	0.05	150	1.9108
1.4699	0.05	160	1.8984
1.5366	0.06	170	1.8877
2.0133	0.06	180	1.8812
2.2186	0.06	190	1.8795
2.7003	0.07	200	1.8882
1.5169	0.07	210	1.8720
1.5444	0.07	220	1.8801
1.726	0.08	230	1.8732
2.0348	0.08	240	1.8657
2.6121	0.09	250	1.8702
1.5258	0.09	260	1.8655
1.5423	0.09	270	1.8733
1.8095	0.1	280	1.8505
2.0462	0.1	290	1.8455
2.5442	0.1	300	1.8552
1.4565	0.11	310	1.8586
1.4278	0.11	320	1.8491
1.7626	0.11	330	1.8358
1.9469	0.12	340	1.8427
2.5378	0.12	350	1.8580
1.4248	0.12	360	1.8499
1.586	0.13	370	1.8378
1.9637	0.13	380	1.8311
1.9733	0.13	390	1.8352
2.6789	0.14	400	1.8543
1.4521	0.14	410	1.8411
1.4683	0.14	420	1.8428
1.862	0.15	430	1.8331
2.0159	0.15	440	1.8304
2.5851	0.15	450	1.8385
1.4911	0.16	460	1.8309
1.5463	0.16	470	1.8262
1.8454	0.16	480	1.8137
2.0086	0.17	490	1.8143
2.6965	0.17	500	1.8230

Framework versions

PEFT 0.10.0
Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

acmc/mistral-7b-instruct-autextification2024

mistral-7b-instruct-autextification2024

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

acmc/
mistral-7b-instruct-autextification2024