mistral-sigoIAspirantes-Orca-oass-500-gpu

This model is a fine-tuned version of NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1371

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: 2
• 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: 1
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.6909	0.3521	25	1.2135
1.026	0.7042	50	0.8374
0.7146	1.0563	75	0.6276
0.5094	1.4085	100	0.4925
0.3916	1.7606	125	0.3939
0.3408	2.1127	150	0.3084
0.1724	2.4648	175	0.2717
0.2586	2.8169	200	0.2026
0.1434	3.1690	225	0.1940
0.1253	3.5211	250	0.1579
0.1197	3.8732	275	0.1526
0.0792	4.2254	300	0.1582
0.0937	4.5775	325	0.1579
0.0898	4.9296	350	0.1381
0.0717	5.2817	375	0.1386
0.0665	5.6338	400	0.1350
0.0773	5.9859	425	0.1325
0.0602	6.3380	450	0.1394
0.055	6.6901	475	0.1377
0.0602	7.0423	500	0.1371

Framework versions

• PEFT 0.10.1.dev0
• Transformers 4.41.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1