burrnesha – AI Model by CaptainLazarus | AlphaNeural AI

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CaptainLazarus/
burrnesha

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text-generation

generated_from_trainer

openlm-research/open_llama_3b_v2

autotrain_compatible

text-generation-inference

endpoints_compatible

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Built with Axolotl

qlora-out

This model is a fine-tuned version of openlm-research/open_llama_3b_v2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9901

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.419	0.0	1	1.6021
1.1683	0.05	282	1.1232
1.0823	0.1	564	1.0956
0.9881	0.15	846	1.0733
0.5434	0.2	1128	1.0653
1.0669	0.25	1410	1.0520
1.2484	0.3	1692	1.0401
1.3012	0.35	1974	1.0445
1.2746	0.4	2256	1.0243
1.2341	0.45	2538	1.0230
1.0461	0.5	2820	1.0148
1.0813	0.55	3102	1.0070
1.1375	0.6	3384	1.0061
1.0052	0.65	3666	1.0007
1.171	0.7	3948	0.9966
1.0764	0.75	4230	0.9948
1.146	0.8	4512	0.9924
1.2213	0.85	4794	0.9918
1.1138	0.9	5076	0.9907
1.0635	0.95	5358	0.9901

Framework versions

Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1