learning_rate: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 36
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
10.2307	0.1249	994	9.3293	0.0019
8.7825	0.2498	1988	8.4617	0.0019
8.2383	0.3747	2982	8.0052	0.0019
7.725	0.4996	3976	7.4308	0.0019
7.1469	0.6245	4970	6.9048	0.0019
6.6885	0.7493	5964	6.4796	0.0019
6.2917	0.8742	6958	6.1138	0.0019
5.9443	0.9991	7952	5.7647	0.0019
5.6083	1.1240	8946	5.4637	0.0019
5.3113	1.2489	9940	5.1734	0.0019
5.0372	1.3738	10934	4.8990	0.0019
4.8082	1.4987	11928	4.6959	0.0019
4.6196	1.6236	12922	4.5390	0.0019
4.4694	1.7485	13916	4.4021	0.0019
4.3445	1.8734	14910	4.2839	0.0019
4.2434	1.9982	15904	4.1847	0.0019
4.1483	2.1231	16898	4.1198	0.0019
4.0722	2.2480	17892	4.0459	0.0019
4.0129	2.3729	18886	3.9963	0.0019
3.9537	2.4978	19880	3.9433	0.0019
3.9087	2.6227	20874	3.8674	0.0019
3.8619	2.7476	21868	3.8329	0.0019
3.82	2.8725	22862	3.8060	0.0019
3.784	2.9974	23856	3.7679	0.0019
3.7371	3.1223	24850	3.7382	0.0019
3.7107	3.2471	25844	3.7112	0.0019
3.6832	3.3720	26838	3.6823	0.0019
3.6592	3.4969	27832	3.6502	0.0019
3.6316	3.6218	28826	3.6265	0.0019
3.6092	3.7467	29820	3.5966	0.0019
3.5879	3.8716	30814	3.5839	0.0019
3.5702	3.9965	31808	3.5615	0.0019
3.5328	4.1214	32802	3.5439	0.0019
3.519	4.2463	33796	3.5269	0.0019
3.5046	4.3712	34790	3.5224	0.0019
3.4893	4.4960	35784	3.4990	0.0019
3.4756	4.6209	36778	3.4717	0.0019
3.4595	4.7458	37772	3.4651	0.0019
3.4429	4.8707	38766	3.4466	0.0019
3.4325	4.9956	39760	3.4381	0.0019
3.4031	5.1205	40754	3.4205	0.0019
3.3937	5.2454	41748	3.4100	0.0019
3.3855	5.3703	42742	3.4019	0.0019
3.3738	5.4952	43736	3.3809	0.0019
3.3628	5.6201	44730	3.3762	0.0019
3.3568	5.7449	45724	3.3613	0.0019
3.3451	5.8698	46718	3.3598	0.0019
3.3342	5.9947	47712	3.3545	0.0019
3.3105	6.1196	48706	3.3286	0.0019
3.3049	6.2445	49700	3.3312	0.0019
3.2964	6.3694	50694	3.3070	0.0019
3.2874	6.4943	51688	3.3043	0.0019
3.2798	6.6192	52682	3.3015	0.0019
3.2777	6.7441	53676	3.2870	0.0019
3.2713	6.8690	54670	3.2826	0.0019
3.2649	6.9938	55664	3.2819	0.0019
3.2362	7.1187	56658	3.2672	0.0019
3.2367	7.2436	57652	3.2611	0.0019
3.2267	7.3685	58646	3.2594	0.0019
3.2232	7.4934	59640	3.2483	0.0019
3.2192	7.6183	60634	3.2313	0.0019
3.2131	7.7432	61628	3.2383	0.0019
3.2067	7.8681	62622	3.2222	0.0019
3.1996	7.9930	63616	3.2285	0.0019
3.1798	8.1179	64610	3.2162	0.0019
3.1779	8.2427	65604	3.2078	0.0019
3.1729	8.3676	66598	3.2018	0.0019
3.1716	8.4925	67592	3.1950	0.0019
3.1664	8.6174	68586	3.1911	0.0019
3.1638	8.7423	69580	3.1862	0.0019
3.155	8.8672	70574	3.1658	0.0019
3.1534	8.9921	71568	3.1746	0.0019
3.1319	9.1170	72562	3.1710	0.0019
3.1294	9.2419	73556	3.1667	0.0019
3.1279	9.3668	74550	3.1557	0.0019
3.1258	9.4916	75544	3.1608	0.0019
3.1193	9.6165	76538	3.1467	0.0019
3.1158	9.7414	77532	3.1522	0.0019
3.1168	9.8663	78526	3.1391	0.0019
3.1105	9.9912	79520	3.1386	0.0019
3.0906	10.1161	80514	3.1351	0.0019
3.0887	10.2410	81508	3.1179	0.0019
3.0904	10.3659	82502	3.1275	0.0019
3.091	10.4908	83496	3.1180	0.0019
3.0823	10.6157	84490	3.1022	0.0019
3.0845	10.7405	85484	3.1070	0.0019
3.0808	10.8654	86478	3.0950	0.0019
3.0753	10.9903	87472	3.0968	0.0019
3.0597	11.1152	88466	3.0999	0.0019
3.0571	11.2401	89460	3.0939	0.0019
3.055	11.3650	90454	3.0904	0.0019
3.0547	11.4899	91448	3.0903	0.0019
3.0491	11.6148	92442	3.0851	0.0019
3.0513	11.7397	93436	3.0793	0.0019
3.0465	11.8646	94430	3.0781	0.0019
3.0469	11.9894	95424	3.0749	0.0019
3.0239	12.1143	96418	3.0681	0.0019
3.0262	12.2392	97412	3.0676	0.0019
3.0231	12.3641	98406	3.0595	0.0019
3.0236	12.4890	99400	3.0584	0.0019
3.0213	12.6139	100394	3.0597	0.0019
3.0221	12.7388	101388	3.0577	0.0019
3.0209	12.8637	102382	3.0504	0.0019
3.0185	12.9886	103376	3.0434	0.0019
2.9991	13.1135	104370	3.0419	0.0019
3.0034	13.2383	105364	3.0428	0.0019
3.0004	13.3632	106358	3.0412	0.0019
2.9944	13.4881	107352	3.0298	0.0019
2.9932	13.6130	108346	3.0311	0.0019
2.9937	13.7379	109340	3.0212	0.0019
2.9945	13.8628	110334	3.0307	0.0019
2.9929	13.9877	111328	3.0241	0.0019
2.9757	14.1126	112322	3.0302	0.0019
2.9771	14.2375	113316	3.0166	0.0019
2.9743	14.3624	114310	3.0190	0.0019
2.9752	14.4872	115304	3.0130	0.0019
2.9727	14.6121	116298	3.0035	0.0019
2.9728	14.7370	117292	3.0103	0.0019
2.9731	14.8619	118286	3.0071	0.0019
2.9717	14.9868	119280	3.0007	0.0019
2.9564	15.1117	120274	3.0101	0.0019
2.9564	15.2366	121268	2.9995	0.0019
2.9557	15.3615	122262	3.0046	0.0019
2.9527	15.4864	123256	2.9944	0.0019
2.9541	15.6113	124250	2.9918	0.0019
2.9534	15.7361	125244	3.0015	0.0019
2.9517	15.8610	126238	2.9855	0.0019
2.9505	15.9859	127232	2.9874	0.0019
2.9361	16.1108	128226	2.9721	0.0019
2.9387	16.2357	129220	2.9857	0.0019
2.9354	16.3606	130214	2.9778	0.0019
2.9373	16.4855	131208	2.9806	0.0019
2.9347	16.6104	132202	2.9793	0.0019
2.9326	16.7353	133196	2.9704	0.0019
2.9347	16.8602	134190	2.9709	0.0019
2.9305	16.9850	135184	2.9745	0.0019
2.9187	17.1099	136178	2.9763	0.0019
2.9176	17.2348	137172	2.9663	0.0019
2.9156	17.3597	138166	2.9625	0.0019
2.9182	17.4846	139160	2.9581	0.0019
2.9186	17.6095	140154	2.9585	0.0019
2.9149	17.7344	141148	2.9621	0.0019
2.917	17.8593	142142	2.9569	0.0019
2.9122	17.9842	143136	2.9544	0.0019
2.9016	18.1091	144130	2.9598	0.0019
2.8994	18.2339	145124	2.9532	0.0019
2.904	18.3588	146118	2.9590	0.0019
2.9015	18.4837	147112	2.9524	0.0019
2.9011	18.6086	148106	2.9535	0.0019
2.9002	18.7335	149100	2.9498	0.0019
2.8983	18.8584	150094	2.9408	0.0019
2.899	18.9833	151088	2.9387	0.0019
2.8878	19.1082	152082	2.9317	0.0019
2.8849	19.2331	153076	2.9355	0.0019
2.886	19.3580	154070	2.9378	0.0019
2.8848	19.4828	155064	2.9344	0.0019
2.8837	19.6077	156058	2.9335	0.0019
2.8842	19.7326	157052	2.9321	0.0019
2.8832	19.8575	158046	2.9322	0.0019
2.8841	19.9824	159040	2.9251	0.0019
2.8715	20.1073	160034	2.9305	0.0019
2.8712	20.2322	161028	2.9291	0.0019
2.8706	20.3571	162022	2.9259	0.0019
2.8714	20.4820	163016	2.9275	0.0019
2.8723	20.6069	164010	2.9176	0.0019
2.8728	20.7318	165004	2.9074	0.0019
2.8703	20.8566	165998	2.9127	0.0019
2.8707	20.9815	166992	2.9213	0.0019
2.8561	21.1064	167986	2.9116	0.0019
2.858	21.2313	168980	2.9084	0.0019
2.8613	21.3562	169974	2.9110	0.0019
2.8561	21.4811	170968	2.9085	0.0019
2.8577	21.6060	171962	2.9134	0.0019
2.8582	21.7309	172956	2.9127	0.0019
2.8563	21.8558	173950	2.9101	0.0019
2.8605	21.9807	174944	2.9085	0.0019
2.8449	22.1055	175938	2.8995	0.0019
2.8457	22.2304	176932	2.8989	0.0019
2.8426	22.3553	177926	2.8985	0.0019
2.8451	22.4802	178920	2.8988	0.0019
2.8449	22.6051	179914	2.9131	0.0019
2.8427	22.7300	180908	2.8996	0.0019
2.8468	22.8549	181902	2.9005	0.0019
2.8446	22.9798	182896	2.8960	0.0019
2.834	23.1047	183890	2.8958	0.0019
2.8343	23.2296	184884	2.8887	0.0019
2.833	23.3544	185878	2.8902	0.0019
2.8333	23.4793	186872	2.8930	0.0019
2.8313	23.6042	187866	2.8822	0.0019
2.8346	23.7291	188860	2.8866	0.0019
2.8308	23.8540	189854	2.8788	0.0019
2.8316	23.9789	190848	2.8791	0.0019
2.823	24.1038	191842	2.8787	0.0019
2.8216	24.2287	192836	2.8744	0.0019
2.822	24.3536	193830	2.8790	0.0019
2.8213	24.4785	194824	2.8780	0.0019
2.8199	24.6033	195818	2.8717	0.0019
2.8192	24.7282	196812	2.8791	0.0019
2.8187	24.8531	197806	2.8674	0.0019
2.821	24.9780	198800	2.8718	0.0019
2.8084	25.1029	199794	2.8719	0.0019
2.8095	25.2278	200788	2.8595	0.0019
2.8097	25.3527	201782	2.8686	0.0019
2.8129	25.4776	202776	2.8693	0.0019
2.8083	25.6025	203770	2.8683	0.0019
2.8101	25.7274	204764	2.8546	0.0019
2.8107	25.8522	205758	2.8725	0.0019
2.8089	25.9771	206752	2.8745	0.0019
2.7992	26.1020	207746	2.8679	0.0019
2.7995	26.2269	208740	2.8627	0.0019
2.7982	26.3518	209734	2.8672	0.0019
2.8	26.4767	210728	2.8580	0.0019
2.8029	26.6016	211722	2.8498	0.0019
2.7998	26.7265	212716	2.8551	0.0019
2.8002	26.8514	213710	2.8506	0.0019
2.7998	26.9763	214704	2.8568	0.0019
2.7931	27.1011	215698	2.8491	0.0019
2.7919	27.2260	216692	2.8544	0.0019
2.7873	27.3509	217686	2.8524	0.0019
2.7892	27.4758	218680	2.8468	0.0019
2.7943	27.6007	219674	2.8459	0.0019
2.7933	27.7256	220668	2.8488	0.0019
2.7875	27.8505	221662	2.8393	0.0019
2.7902	27.9754	222656	2.8350	0.0019
2.7834	28.1003	223650	2.8437	0.0019
2.7816	28.2252	224644	2.8475	0.0019
2.7836	28.3500	225638	2.8415	0.0019
2.7812	28.4749	226632	2.8329	0.0019
2.7825	28.5998	227626	2.8422	0.0019
2.7821	28.7247	228620	2.8402	0.0019
2.7803	28.8496	229614	2.8408	0.0019
2.7811	28.9745	230608	2.8331	0.0019
2.7742	29.0994	231602	2.8390	0.0019
2.771	29.2243	232596	2.8383	0.0019
2.7734	29.3492	233590	2.8392	0.0019
2.775	29.4741	234584	2.8260	0.0019
2.7733	29.5989	235578	2.8276	0.0019
2.7716	29.7238	236572	2.8275	0.0019
2.7694	29.8487	237566	2.8329	0.0019
2.7711	29.9736	238560	2.8297	0.0019
2.762	30.0985	239554	2.8261	0.0019
2.7637	30.2234	240548	2.8294	0.0019
2.7642	30.3483	241542	2.8178	0.0019
2.7663	30.4732	242536	2.8292	0.0019
2.7637	30.5981	243530	2.8237	0.0019
2.7655	30.7230	244524	2.8220	0.0019
2.7629	30.8478	245518	2.8180	0.0019
2.7675	30.9727	246512	2.8267	0.0019
2.7612	31.0976	247506	2.8238	0.0019
2.759	31.2225	248500	2.8212	0.0019
2.7558	31.3474	249494	2.8246	0.0019
2.7558	31.4723	250488	2.8199	0.0019
2.7547	31.5972	251482	2.8222	0.0019
2.7552	31.7221	252476	2.8172	0.0019
2.7595	31.8470	253470	2.8213	0.0019
2.7537	31.9719	254464	2.8262	0.0019
2.7518	32.0967	255458	2.8190	0.0019
2.7486	32.2216	256452	2.8203	0.0019
2.7496	32.3465	257446	2.8192	0.0019
2.7499	32.4714	258440	2.8182	0.0019
2.7506	32.5963	259434	2.8093	0.0019
2.7494	32.7212	260428	2.8108	0.0019
2.7486	32.8461	261422	2.8036	0.0019
2.7465	32.9710	262416	2.8100	0.0019
2.7439	33.0959	263410	2.8041	0.0019
2.7438	33.2208	264404	2.8054	0.0019
2.7446	33.3456	265398	2.8189	0.0019
2.7432	33.4705	266392	2.8096	0.0019
2.7403	33.5954	267386	2.8061	0.0019
2.7449	33.7203	268380	2.8140	0.0019
2.74	33.8452	269374	2.8048	0.0019
2.7442	33.9701	270368	2.8042	0.0019
2.7409	34.0950	271362	2.8087	0.0019
2.7378	34.2199	272356	2.8063	0.0019
2.7374	34.3448	273350	2.8085	0.0019
2.7353	34.4697	274344	2.8043	0.0019
2.7339	34.5945	275338	2.8042	0.0019
2.7373	34.7194	276332	2.7975	0.0019
2.7338	34.8443	277326	2.8020	0.0019
2.7387	34.9692	278320	2.8032	0.0019
2.7347	35.0941	279314	2.8031	0.0019
2.7339	35.2190	280308	2.8027	0.0019
2.7321	35.3439	281302	2.8032	0.0019
2.7314	35.4688	282296	2.7986	0.0019
2.7291	35.5937	283290	2.8041	0.0019
2.7332	35.7186	284284	2.8067	0.0019
2.7295	35.8434	285278	2.8000	0.0019
2.7322	35.9683	286272	2.8040	0.0019

Framework versions

Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

yosefw/modernbert-small-amharic-50k

modernbert-small-amharic-50k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

yosefw/
modernbert-small-amharic-50k