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zelalt/
paper_imp_new_format_1

generated_from_trainer

teknium/OpenHermes-2.5-Mistral-7B

adapter

apache-2.0

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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

zelalt/paper_imp_new_format_1

paper_imp_new_format_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

zelalt/
paper_imp_new_format_1