paper_imp_new_format_1

zelalt/paper_imp_new_format_1

paper_imp_new_format_1 is a machine learning model from zelalt. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Jan 22, 2024
Updated: Jan 22, 2024
SHA: ddd91e52

Base models

teknium/OpenHermes-2.5-Mistral-7B

Model card

From the Hugging Face model README

paper_imp_new_format_1

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

Loss: 0.6201

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: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: reduce_lr_on_plateau
lr_scheduler_warmup_steps: 200
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.99	0.15	4	1.0009
1.0287	0.3	8	0.9440
0.9432	0.44	12	0.8927
0.829	0.59	16	0.8395
0.7702	0.74	20	0.7773
0.6886	0.89	24	0.7180
0.5844	1.04	28	0.6774
0.6016	1.19	32	0.6593
0.5237	1.33	36	0.6484
0.5505	1.48	40	0.6418
0.669	1.63	44	0.6350
0.4595	1.78	48	0.6320
0.5486	1.93	52	0.6290
0.539	2.07	56	0.6242
0.5089	2.22	60	0.6188
0.6012	2.37	64	0.6195
0.4286	2.52	68	0.6147
0.4335	2.67	72	0.6154
0.4584	2.81	76	0.6154
0.4597	2.96	80	0.6115
0.421	3.11	84	0.6076
0.4541	3.26	88	0.6131
0.3533	3.41	92	0.6199
0.4007	3.56	96	0.6142
0.3876	3.7	100	0.6104
0.4258	3.85	104	0.6073
0.4537	4.0	108	0.6059
0.3486	4.15	112	0.6098
0.3399	4.3	116	0.6172
0.3826	4.44	120	0.6215
0.3813	4.59	124	0.6210
0.3835	4.74	128	0.6192
0.3864	4.89	132	0.6173
0.3216	5.04	136	0.6147
0.3923	5.19	140	0.6151
0.3757	5.33	144	0.6158
0.2861	5.48	148	0.6164
0.3838	5.63	152	0.6174
0.3669	5.78	156	0.6180
0.3405	5.93	160	0.6188
0.3355	6.07	164	0.6188
0.3533	6.22	168	0.6193
0.4245	6.37	172	0.6191
0.3257	6.52	176	0.6196
0.3361	6.67	180	0.6198
0.3595	6.81	184	0.6198
0.3075	6.96	188	0.6198
0.4133	7.11	192	0.6199
0.3341	7.26	196	0.6197
0.385	7.41	200	0.6197
0.3254	7.56	204	0.6198
0.385	7.7	208	0.6199
0.3332	7.85	212	0.6197
0.2648	8.0	216	0.6198
0.3602	8.15	220	0.6203
0.4129	8.3	224	0.6200
0.3716	8.44	228	0.6196
0.3152	8.59	232	0.6200
0.3463	8.74	236	0.6199
0.3357	8.89	240	0.6198
0.3029	9.04	244	0.6199
0.3679	9.19	248	0.6200
0.3911	9.33	252	0.6201
0.2844	9.48	256	0.6199
0.2584	9.63	260	0.6199
0.3966	9.78	264	0.6200
0.3423	9.93	268	0.6201

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.15.0

Library: peft
License: apache-2.0
Created: Jan 22, 2024
Updated: Jan 22, 2024