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joedonino/
radia-fine-tune-mistral-7b-lora-v4

Name: radia-fine-tune-mistral-7b-lora-v4
Availability: InStock

safetensors

generated_from_trainer

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

finetune

apache-2.0

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radia-fine-tune-mistral-7b-lora-v4

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: 0.4623

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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: 0.3
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.038	0.09	5	0.7933
0.8309	0.17	10	0.7250
0.6972	0.26	15	0.6792
0.6841	0.34	20	0.6448
0.645	0.43	25	0.6158
0.626	0.52	30	0.5929
0.5645	0.6	35	0.5719
0.5722	0.69	40	0.5545
0.5489	0.78	45	0.5385
0.5206	0.86	50	0.5283
0.4599	0.95	55	0.5171
0.5232	1.03	60	0.5082
0.4798	1.12	65	0.5032
0.3585	1.21	70	0.4984
0.3923	1.29	75	0.4899
0.3915	1.38	80	0.4825
0.3845	1.47	85	0.4758
0.3768	1.55	90	0.4752
0.3928	1.64	95	0.4668
0.3986	1.72	100	0.4632
0.3495	1.81	105	0.4607
0.4014	1.9	110	0.4563
0.3902	1.98	115	0.4519
0.3081	2.07	120	0.4656
0.3204	2.16	125	0.4569
0.2844	2.24	130	0.4605
0.2501	2.33	135	0.4595
0.2723	2.41	140	0.4547
0.2979	2.5	145	0.4662
0.2884	2.59	150	0.4548
0.2944	2.67	155	0.4587
0.2575	2.76	160	0.4542
0.2558	2.84	165	0.4499
0.2165	2.93	170	0.4511
0.2806	3.02	175	0.4484
0.1799	3.1	180	0.4799
0.1877	3.19	185	0.4608
0.1918	3.28	190	0.4738
0.1812	3.36	195	0.4665
0.199	3.45	200	0.4714
0.1581	3.53	205	0.4699
0.1918	3.62	210	0.4613
0.2052	3.71	215	0.4667
0.1893	3.79	220	0.4626
0.2177	3.88	225	0.4606
0.2196	3.97	230	0.4623

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

joedonino/radia-fine-tune-mistral-7b-lora-v4

radia-fine-tune-mistral-7b-lora-v4

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

joedonino/
radia-fine-tune-mistral-7b-lora-v4