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RiverTest/
MTG3

generated_from_trainer

generator

teknium/OpenHermes-2.5-Mistral-7B

adapter

apache-2.0

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teknium/OpenHermes-2.5-Mistral-7B

This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the generator dataset. It achieves the following results on the evaluation set:

Loss: 0.4764

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: 2.5e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.03
training_steps: 220

Training results

Training Loss	Epoch	Step	Validation Loss
1.6429	0.23	10	1.3400
1.2684	0.47	20	1.0591
1.0218	0.7	30	0.8600
0.8095	0.93	40	0.7113
0.6887	1.16	50	0.6353
0.6207	1.4	60	0.5958
0.5726	1.63	70	0.5717
0.5639	1.86	80	0.5548
0.5496	2.09	90	0.5409
0.5353	2.33	100	0.5297
0.4968	2.56	110	0.5204
0.5031	2.79	120	0.5118
0.4906	3.02	130	0.5053
0.4671	3.26	140	0.5015
0.4734	3.49	150	0.4960
0.4734	3.72	160	0.4890
0.4522	3.95	170	0.4857
0.44	4.19	180	0.4824
0.4376	4.42	190	0.4797
0.4361	4.65	200	0.4778
0.4428	4.88	210	0.4769
0.4591	5.12	220	0.4764

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0

RiverTest/MTG3

teknium/OpenHermes-2.5-Mistral-7B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RiverTest/
MTG3