Mistral_7B_MT

This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Accuracy	F1 score	Precision	Recall	Validation Loss
1.687	0.25	200	0.6233	0.4378	0.8627	0.2933	2.0030
0.9482	0.5	400	0.68	0.5616	0.8913	0.41	1.4557
0.9232	0.75	600	0.72	0.6471	0.875	0.5133	0.8805
0.7781	1.0	800	0.57	0.3246	0.7561	0.2067	1.4515
0.5468	1.25	1000	0.7233	0.6483	0.8895	0.51	0.8474
0.5549	1.5	1200	0.7767	0.7403	0.8843	0.6367	0.7168
0.4883	1.75	1400	0.8	0.7719	0.8982	0.6767	0.6943
0.4639	2.0	1600	0.7767	0.7276	0.9323	0.5967	0.7637
0.3804	2.25	1800	0.7617	0.7146	0.8905	0.5967	0.8467
0.3847	2.5	2000	0.81	0.7942	0.8661	0.7333	0.6699
0.346	2.75	2200	0.7833	0.7575	0.8602	0.6767	0.8569
0.3488	3.0	2400	0.7824	0.815	0.9238	0.6867	0.7878
0.2654	3.25	2600	1.0799	0.7683	0.9259	0.5833	0.7157
0.2506	3.5	2800	0.8567	0.8033	0.9062	0.6767	0.7748
0.2574	3.75	3000	0.7490	0.8083	0.7846	0.85	0.816
0.2137	4.0	3200	0.7665	0.8333	0.8546	0.8033	0.8282
0.1335	4.25	3400	0.8591	0.8133	0.8013	0.8333	0.8170
0.1486	4.5	3600	0.9781	0.83	0.9091	0.7333	0.8118
0.126	4.75	3800	0.8723	0.8217	0.8642	0.7633	0.8106
0.1474	5.0	4000	0.8388	0.8167	0.8519	0.7667	0.8070