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hotpotqa-unsloth-mistral-7b-4bit-1024

Name: hotpotqa-unsloth-mistral-7b-4bit-1024
Availability: InStock

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mistral-7b-instruct-v0.2-bnb-4bit1024

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss
1.8431	0.02	25	1.4131
0.8021	0.04	50	0.7911
0.7972	0.05	75	0.7886
0.7886	0.07	100	0.7780
0.7762	0.09	125	0.7546
0.7338	0.11	150	0.7332
0.707	0.12	175	0.7399
0.7252	0.14	200	0.7303
0.7513	0.16	225	0.7384
0.7275	0.18	250	0.7380
0.7283	0.19	275	0.7285
0.7132	0.21	300	0.7452
0.7273	0.23	325	0.7370
0.7353	0.25	350	0.7388
0.7457	0.27	375	0.7292
0.7404	0.28	400	0.7315
0.7312	0.3	425	0.7341
0.7285	0.32	450	0.7277
0.7331	0.34	475	0.7318
0.7179	0.35	500	0.7401
0.7432	0.37	525	0.7399
0.7305	0.39	550	0.7463
0.723	0.41	575	0.7448
0.7303	0.42	600	0.7339
0.7213	0.44	625	0.7320
0.7236	0.46	650	0.7378
0.7263	0.48	675	0.7451
0.7462	0.5	700	0.7238
0.7287	0.51	725	0.7274
0.7364	0.53	750	0.7369
0.7276	0.55	775	0.7282
0.7268	0.57	800	0.7431
0.7382	0.58	825	0.7376
0.7185	0.6	850	0.7402
0.7153	0.62	875	0.7362
0.7314	0.64	900	0.7395
0.7465	0.65	925	0.7378
0.7228	0.67	950	0.7333
0.7336	0.69	975	0.7337
0.72	0.71	1000	0.7313
0.7258	0.73	1025	0.7379
0.7312	0.74	1050	0.7342
0.7268	0.76	1075	0.7350
0.7137	0.78	1100	0.7401
0.7277	0.8	1125	0.7277
0.7314	0.81	1150	0.7388
0.7106	0.83	1175	0.7371
0.7226	0.85	1200	0.7326
0.7262	0.87	1225	0.7328
0.7356	0.88	1250	0.7408
0.7245	0.9	1275	0.7365
0.7221	0.92	1300	0.7404
0.7194	0.94	1325	0.7418
0.7209	0.96	1350	0.7380
0.7205	0.97	1375	0.7279
0.6788	0.99	1400	0.6953