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thorirhrafn/
ice_llama2_v1

Name: ice_llama2_v1
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

meta-llama/Llama-2-7b-hf

adapter

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ice_llama2_v1

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9931

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.3158	0.03	10000	2.2641
2.2183	0.07	20000	2.1728
2.2155	0.1	30000	2.1331
2.1487	0.14	40000	2.1068
2.1569	0.17	50000	2.0883
2.15	0.2	60000	2.0753
2.1516	0.24	70000	2.0657
2.0938	0.27	80000	2.0576
2.1507	0.3	90000	2.0500
2.1218	0.34	100000	2.0449
2.1107	0.37	110000	2.0405
2.1035	0.41	120000	2.0354
2.0684	0.44	130000	2.0327
2.1331	0.47	140000	2.0288
2.0844	0.51	150000	2.0269
2.1046	0.54	160000	2.0239
2.0912	0.57	170000	2.0208
2.0761	0.61	180000	2.0196
2.0917	0.64	190000	2.0171
2.1177	0.68	200000	2.0157
2.0647	0.71	210000	2.0134
2.0823	0.74	220000	2.0121
2.0761	0.78	230000	2.0105
2.0729	0.81	240000	2.0094
2.0495	0.85	250000	2.0086
2.0507	0.88	260000	2.0069
2.0933	0.91	270000	2.0058
2.1401	0.95	280000	2.0040
2.0917	0.98	290000	2.0034
2.0667	1.01	300000	2.0029
2.0958	1.05	310000	2.0017
2.071	1.08	320000	2.0012
2.0867	1.12	330000	2.0004
2.0705	1.15	340000	1.9993
2.0702	1.18	350000	1.9990
2.081	1.22	360000	1.9990
2.0671	1.25	370000	1.9980
2.0735	1.28	380000	1.9977
2.0681	1.32	390000	1.9969
2.0642	1.35	400000	1.9966
2.0773	1.39	410000	1.9962
2.0999	1.42	420000	1.9959
2.0637	1.45	430000	1.9958
2.0986	1.49	440000	1.9952
2.0821	1.52	450000	1.9953
2.0524	1.56	460000	1.9950
2.0594	1.59	470000	1.9945
2.041	1.62	480000	1.9943
2.0659	1.66	490000	1.9945
2.0748	1.69	500000	1.9942
2.0253	1.72	510000	1.9941
2.0728	1.76	520000	1.9938
2.0665	1.79	530000	1.9937
2.0527	1.83	540000	1.9936
2.0597	1.86	550000	1.9936
2.054	1.89	560000	1.9935
2.1144	1.93	570000	1.9935
2.0751	1.96	580000	1.9934
2.0791	1.99	590000	1.9934
2.0473	2.03	600000	1.9933
2.0804	2.06	610000	1.9933
2.1045	2.1	620000	1.9932
2.0622	2.13	630000	1.9933
2.0323	2.16	640000	1.9932
2.0698	2.2	650000	1.9932
2.0932	2.23	660000	1.9931
2.0854	2.27	670000	1.9932
2.0592	2.3	680000	1.9931
2.0576	2.33	690000	1.9931
2.0627	2.37	700000	1.9932
2.0731	2.4	710000	1.9931
2.0547	2.43	720000	1.9931
2.0534	2.47	730000	1.9932
2.0552	2.5	740000	1.9931
2.0583	2.54	750000	1.9931
2.0702	2.57	760000	1.9931
2.0673	2.6	770000	1.9932
2.0382	2.64	780000	1.9932
2.0758	2.67	790000	1.9932
2.0885	2.7	800000	1.9931
2.0663	2.74	810000	1.9931
2.0677	2.77	820000	1.9931
2.0502	2.81	830000	1.9931
2.1153	2.84	840000	1.9931
2.0621	2.87	850000	1.9931
2.099	2.91	860000	1.9931
2.0285	2.94	870000	1.9930
2.0343	2.98	880000	1.9931

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.2.0+cu118
Datasets 2.17.1
Tokenizers 0.15.2

thorirhrafn/ice_llama2_v1

ice_llama2_v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thorirhrafn/
ice_llama2_v1