learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 4
seed: 42
optimizer: Use 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: 6733
training_steps: 134675

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Macro F1	Major Tenk F1	Major Tenq F1	Tenk 1a F1	Tenq 1a F1	Overall Metrics
No log	0.0015	200	22.9093	0.0582	0.0242	0.0210	0.0294	0.0097	0.0115	0.0238
No log	1.0014	400	43.4331	0.2678	0.0690	0.0387	0.1037	0.0073	0.0011	0.0645
21.3016	2.0013	600	65.0111	0.4626	0.1118	0.0818	0.1522	0.0016	0.0	0.1054
21.3016	3.0012	800	67.8749	0.5109	0.1237	0.0926	0.1663	0.0018	0.0	0.1166
8.7776	4.0010	1000	63.0634	0.5378	0.1302	0.0982	0.1743	0.0008	0.0	0.1227
8.7776	5.0009	1200	62.0087	0.5517	0.1358	0.1043	0.1760	0.0008	0.0	0.1262
8.7776	6.0008	1400	38.7583	0.5834	0.1463	0.1111	0.1900	0.0001	0.0032	0.1357
5.9382	7.0007	1600	25.6757	0.5962	0.1543	0.1165	0.2002	0.0041	0.0004	0.1427
5.9382	8.0006	1800	17.3940	0.6062	0.1621	0.1165	0.2163	0.0	0.0007	0.1498
3.7929	9.0005	2000	13.6015	0.6233	0.1722	0.1263	0.2271	0.0	0.0036	0.1592
3.7929	10.0004	2200	11.1172	0.6268	0.1866	0.1450	0.2357	0.0019	0.0033	0.1716
3.7929	11.0003	2400	9.3406	0.6439	0.2060	0.1503	0.2720	0.0015	0.0054	0.1904
1.815	12.0001	2600	8.1692	0.6350	0.2214	0.1502	0.3023	0.0001	0.0104	0.2041
1.815	13.0000	2800	7.9198	0.6724	0.2569	0.1907	0.3350	0.0312	0.0051	0.2384
1.4944	13.0015	3000	7.0768	0.6773	0.2804	0.1986	0.3722	0.0059	0.0412	0.2592
1.4944	14.0014	3200	7.4055	0.6774	0.2917	0.2158	0.3771	0.0143	0.0111	0.2681
1.4944	15.0013	3400	7.5000	0.6959	0.3466	0.2502	0.4518	0.0428	0.0499	0.3205
1.2685	16.0012	3600	8.0240	0.7275	0.3682	0.2847	0.4642	0.0451	0.1227	0.3454
1.2685	17.0011	3800	6.4566	0.7362	0.3903	0.3052	0.4886	0.0276	0.0612	0.3617
1.068	18.0010	4000	7.4828	0.7558	0.4126	0.3232	0.5174	0.1648	0.0891	0.3910
1.068	19.0009	4200	6.9992	0.7607	0.4325	0.3494	0.5327	0.0472	0.2478	0.4117
1.068	20.0007	4400	7.1576	0.7610	0.4417	0.3588	0.5384	0.1569	0.0666	0.4149
0.9	21.0006	4600	7.8620	0.7898	0.4764	0.4144	0.5573	0.4055	0.1018	0.4626
0.9	22.0005	4800	7.8345	0.7947	0.4960	0.4263	0.5854	0.1872	0.3950	0.4844
0.7375	23.0004	5000	7.6503	0.8097	0.5301	0.4649	0.6162	0.3336	0.5382	0.5301
0.7375	24.0003	5200	8.3476	0.8058	0.5225	0.4652	0.6035	0.4260	0.4220	0.5233
0.7375	25.0002	5400	9.5954	0.8025	0.5223	0.4786	0.5927	0.4961	0.3649	0.5252
0.58	26.0001	5600	9.0235	0.8119	0.5241	0.4750	0.5933	0.2667	0.2188	0.5050
0.58	26.0016	5800	9.8233	0.8288	0.5601	0.5052	0.6381	0.4076	0.6448	0.5671
0.428	27.0014	6000	9.5790	0.8275	0.5598	0.5172	0.6276	0.4814	0.5576	0.5671
0.428	28.0013	6200	11.0717	0.8203	0.5667	0.5231	0.6373	0.4378	0.5291	0.5705
0.428	29.0012	6400	10.5567	0.8284	0.5652	0.5300	0.6267	0.3778	0.5211	0.5655
0.254	30.0011	6600	11.4371	0.8283	0.5725	0.5515	0.6223	0.5236	0.2422	0.5665
0.254	31.0010	6800	12.2867	0.8406	0.6012	0.5709	0.6638	0.7299	0.6995	0.6271
0.0947	32.0009	7000	12.8546	0.8552	0.6216	0.6144	0.6601	0.7908	0.5715	0.6416
0.0947	33.0008	7200	12.7318	0.8565	0.6200	0.6027	0.6702	0.8099	0.7050	0.6485
0.0947	34.0007	7400	12.0384	0.8661	0.6233	0.6034	0.6739	0.8386	0.7156	0.6525
-0.1034	35.0006	7600	15.3227	0.8742	0.6357	0.6079	0.6960	0.8428	0.8015	0.6690
-0.1034	36.0004	7800	15.8934	0.8785	0.6583	0.6485	0.7031	0.8728	0.7516	0.6894
-0.2992	37.0003	8000	16.9423	0.8771	0.6592	0.6530	0.6992	0.8593	0.7820	0.6906
-0.2992	38.0002	8200	19.0965	0.8778	0.6689	0.6663	0.7079	0.8849	0.8503	0.7051
-0.2992	39.0001	8400	19.9213	0.8845	0.6787	0.6862	0.7093	0.8772	0.7874	0.7112
-0.4904	39.0016	8600	21.4615	0.8855	0.6834	0.6951	0.7099	0.8722	0.7082	0.7112
-0.4904	40.0015	8800	20.2033	0.8910	0.7001	0.7117	0.7276	0.8881	0.8388	0.7340
-0.6639	41.0014	9000	23.1491	0.8908	0.6896	0.6964	0.7209	0.9066	0.7945	0.7228
-0.6639	42.0013	9200	23.7054	0.8928	0.7054	0.7249	0.7251	0.9108	0.7759	0.7368
-0.6639	43.0012	9400	22.7258	0.8940	0.7012	0.7154	0.7246	0.9127	0.7414	0.7307
-0.819	44.0010	9600	23.3351	0.8951	0.7115	0.7370	0.7252	0.9024	0.6512	0.7357
-0.819	45.0009	9800	29.3079	0.8997	0.7166	0.7344	0.7393	0.9225	0.8124	0.7499
-0.9986	46.0008	10000	27.5950	0.8974	0.7202	0.7372	0.7416	0.9329	0.8135	0.7528
-0.9986	47.0007	10200	30.2731	0.9065	0.7307	0.7526	0.7512	0.9313	0.8361	0.7651
-0.9986	48.0006	10400	26.4569	0.9055	0.7422	0.7597	0.7658	0.9271	0.9034	0.7780
-1.1416	49.0005	10600	30.9510	0.9085	0.7394	0.7503	0.7681	0.9209	0.9076	0.7747
-1.1416	50.0004	10800	36.2786	0.9118	0.7484	0.7639	0.7742	0.9406	0.9119	0.7848
-1.2988	51.0003	11000	30.3107	0.9064	0.7391	0.7629	0.7549	0.9133	0.8214	0.7698
-1.2988	52.0001	11200	32.2472	0.9110	0.7525	0.7765	0.7711	0.9370	0.8554	0.7860
-1.2988	53.0000	11400	34.5525	0.9126	0.7535	0.7791	0.7696	0.9067	0.8172	0.7831
-1.4395	53.0015	11600	37.1157	0.9181	0.7597	0.7801	0.7811	0.9177	0.9048	0.7937
-1.4395	54.0014	11800	33.9399	0.9194	0.7640	0.7867	0.7834	0.9350	0.8726	0.7969
-1.5867	55.0013	12000	36.6592	0.9174	0.7694	0.7914	0.7884	0.9391	0.9053	0.8031
-1.5867	56.0012	12200	39.0904	0.9203	0.7694	0.7915	0.7879	0.9058	0.8941	0.8007
-1.5867	57.0011	12400	36.1882	0.9202	0.7736	0.7931	0.7949	0.9335	0.9025	0.8064
-1.7261	58.0010	12600	35.2826	0.9253	0.7781	0.8032	0.7958	0.9437	0.8951	0.8115
-1.7261	59.0009	12800	41.0372	0.9225	0.7773	0.7993	0.7982	0.9286	0.9291	0.8118
-1.8462	60.0007	13000	35.6025	0.9234	0.7833	0.8112	0.7964	0.9313	0.8839	0.8142
-1.8462	61.0006	13200	40.7684	0.9274	0.7907	0.8189	0.8057	0.9364	0.9151	0.8236
-1.8462	62.0005	13400	35.8022	0.9256	0.7895	0.8137	0.8079	0.9405	0.9290	0.8232
-1.9626	63.0004	13600	37.1064	0.9257	0.7922	0.8190	0.8080	0.9428	0.9124	0.8249
-1.9626	64.0003	13800	40.3584	0.9243	0.7875	0.8229	0.7954	0.9355	0.8698	0.8185
-2.0763	65.0002	14000	44.5787	0.9255	0.7886	0.8163	0.8032	0.9185	0.8918	0.8193
-2.0763	66.0001	14200	38.8567	0.9310	0.7829	0.8265	0.8165	0.9323	0.9142	0.8317
-2.0763	66.0016	14400	50.6282	0.9288	0.7951	0.8202	0.8141	0.9426	0.9174	0.8284
-2.1933	67.0014	14600	45.9450	0.9318	0.7885	0.8298	0.8240	0.9510	0.9266	0.8381
-2.1933	68.0013	14800	47.0018	0.9295	0.7822	0.8278	0.8135	0.9423	0.9262	0.8320
-2.3111	69.0012	15000	49.9458	0.9325	0.8091	0.8316	0.8305	0.9567	0.9439	0.8430
-2.3111	70.0011	15200	47.1373	0.9304	0.8097	0.8300	0.8322	0.9378	0.9258	0.8412
-2.3111	71.0010	15400	52.9087	0.9340	0.8129	0.8434	0.8265	0.9374	0.9022	0.8434
-2.3975	72.0009	15600	47.5215	0.9309	0.7883	0.8297	0.8234	0.9358	0.9286	0.8371
-2.3975	73.0008	15800	51.4139	0.9339	0.7985	0.8408	0.8345	0.9520	0.9511	0.8490
-2.4939	74.0007	16000	51.2478	0.9344	0.7956	0.8341	0.8346	0.9505	0.9458	0.8457
-2.4939	75.0006	16200	44.9961	0.9355	0.8191	0.8355	0.8456	0.9451	0.9500	0.8512
-2.4939	76.0004	16400	44.2250	0.9349	0.8045	0.8451	0.8435	0.9408	0.9340	0.8536
-2.5939	77.0003	16600	56.7705	0.9317	0.7992	0.8419	0.8343	0.9336	0.8942	0.8457
-2.5939	78.0002	16800	49.7158	0.9343	0.8016	0.8475	0.8339	0.9048	0.8942	0.8466
-2.6717	79.0001	17000	52.0061	0.9386	0.8242	0.8531	0.8396	0.9495	0.9492	0.8566
-2.6717	79.0016	17200	50.9550	0.9379	0.8243	0.8525	0.8395	0.9547	0.9141	0.8548
-2.6717	80.0015	17400	50.8336	0.9359	0.8130	0.8582	0.8473	0.9389	0.9220	0.8605
-2.7623	81.0014	17600	62.3784	0.9394	0.8129	0.8523	0.8526	0.9529	0.9431	0.8620
-2.7623	82.0013	17800	51.1099	0.9393	0.8296	0.8503	0.8522	0.9486	0.9388	0.8605
-2.8278	83.0012	18000	64.7991	0.9381	0.8128	0.8496	0.8555	0.9448	0.9483	0.8619
-2.8278	84.0010	18200	56.9784	0.9391	0.8330	0.8579	0.8519	0.9482	0.9499	0.8643
-2.8278	85.0009	18400	60.0919	0.9394	0.8375	0.8597	0.8602	0.9573	0.9368	0.8686
-2.9011	86.0008	18600	64.6598	0.9398	0.8197	0.8621	0.8572	0.9554	0.9438	0.8687
-2.9011	87.0007	18800	57.7279	0.9394	0.8219	0.8667	0.8579	0.9640	0.9403	0.8713
-2.9702	88.0006	19000	55.9334	0.9406	0.8358	0.8597	0.8577	0.9645	0.9474	0.8685
-2.9702	89.0005	19200	61.1228	0.9396	0.8220	0.8659	0.8596	0.9668	0.9508	0.8724
-2.9702	90.0004	19400	67.0499	0.9397	0.8193	0.8567	0.8614	0.9561	0.9387	0.8679
-3.0495	91.0003	19600	75.3343	0.9403	0.8244	0.8685	0.8611	0.9507	0.9456	0.8732
-3.0495	92.0001	19800	73.6509	0.9399	0.8239	0.8647	0.8646	0.9557	0.9469	0.8733
-3.1079	93.0000	20000	80.0958	0.9404	0.8199	0.8641	0.8561	0.9490	0.9243	0.8678
-3.1079	93.0015	20200	75.9362	0.9383	0.8444	0.8668	0.8676	0.9219	0.9195	0.8726
-3.1079	94.0014	20400	79.6273	0.9416	0.8228	0.8628	0.8627	0.9544	0.9331	0.8708
-3.1619	95.0013	20600	77.8833	0.9406	0.8295	0.8690	0.8705	0.9454	0.9461	0.8774
-3.1619	96.0012	20800	84.8466	0.9417	0.8264	0.8679	0.8654	0.9293	0.9068	0.8718
-3.2234	97.0011	21000	78.0783	0.9333	0.8205	0.8601	0.8639	0.9597	0.9469	0.8712
-3.2234	98.0010	21200	88.5076	0.9421	0.8281	0.8722	0.8657	0.9576	0.9402	0.8770
-3.2234	99.0009	21400	89.4854	0.9425	0.8323	0.8767	0.8697	0.9634	0.9390	0.8810
-3.2573	100.0007	21600	93.9526	0.9402	0.8299	0.8747	0.8670	0.9595	0.9417	0.8788
-3.2573	101.0006	21800	91.3657	0.9411	0.8520	0.8693	0.8802	0.9588	0.9514	0.8828
-3.3339	102.0005	22000	89.4325	0.9399	0.8478	0.8794	0.8633	0.9698	0.9482	0.8801
-3.3339	103.0004	22200	102.9487	0.9402	0.8486	0.8692	0.8731	0.9580	0.9418	0.8790
-3.3339	104.0003	22400	90.6645	0.9407	0.8341	0.8701	0.8790	0.9509	0.9420	0.8817
-3.3701	105.0002	22600	100.2856	0.9421	0.8499	0.8729	0.8719	0.9637	0.9477	0.8807
-3.3701	106.0001	22800	109.2609	0.9412	0.8554	0.8773	0.8811	0.9703	0.9473	0.8872
-3.4053	106.0016	23000	109.5671	0.9408	0.8504	0.8677	0.8790	0.9580	0.9372	0.8808
-3.4053	107.0014	23200	113.2275	0.9448	0.8392	0.8781	0.8827	0.9667	0.9514	0.8883
-3.4053	108.0013	23400	102.7126	0.9433	0.8510	0.8816	0.8664	0.9642	0.9336	0.8815
-3.4579	109.0012	23600	92.6183	0.9434	0.8362	0.8752	0.8791	0.9620	0.9475	0.8849
-3.4579	110.0011	23800	125.7100	0.9440	0.8354	0.8786	0.8741	0.9587	0.9280	0.8830
-3.5046	111.0010	24000	128.8889	0.9428	0.8369	0.8824	0.8734	0.9637	0.9553	0.8861
-3.5046	112.0009	24200	115.0914	0.9446	0.8414	0.8843	0.8815	0.9699	0.9558	0.8909
-3.5046	113.0008	24400	135.8356	0.9439	0.8591	0.8839	0.8805	0.9732	0.9569	0.8905
-3.5396	114.0007	24600	143.3240	0.9465	0.8582	0.8783	0.8834	0.9693	0.9516	0.8888
-3.5396	115.0006	24800	137.2852	0.9462	0.8610	0.8864	0.8829	0.9637	0.9493	0.8918
-3.5728	116.0004	25000	135.8088	0.9445	0.8583	0.8814	0.8812	0.9689	0.9467	0.8889
-3.5728	117.0003	25200	150.8851	0.9460	0.8572	0.8742	0.8860	0.9609	0.9438	0.8873
-3.5728	118.0002	25400	147.1332	0.9431	0.8422	0.8805	0.8856	0.9557	0.9459	0.8898
-3.6279	119.0001	25600	153.4816	0.9457	0.8630	0.8843	0.8881	0.9713	0.9514	0.8937
-3.6279	119.0016	25800	172.2588	0.9434	0.8461	0.8875	0.8882	0.9589	0.9479	0.8944
-3.6598	120.0015	26000	169.0786	0.9452	0.8671	0.8907	0.8916	0.9604	0.9515	0.8976
-3.6598	121.0014	26200	140.6363	0.9453	0.8650	0.8899	0.8865	0.9613	0.9402	0.8945
-3.6598	122.0013	26400	146.1920	0.9472	0.8684	0.8867	0.8969	0.9631	0.9545	0.8985
-3.6878	123.0012	26600	162.5903	0.9457	0.8645	0.8850	0.8897	0.9617	0.9491	0.8942
-3.6878	124.0010	26800	172.6644	0.9466	0.8480	0.8872	0.8921	0.9593	0.9569	0.8965
-3.7161	125.0009	27000	184.3907	0.9441	0.8626	0.8837	0.8875	0.9645	0.9500	0.8928
-3.7161	126.0008	27200	186.7660	0.9424	0.8481	0.8827	0.8959	0.9477	0.9511	0.8953
-3.7161	127.0007	27400	183.2394	0.9446	0.8487	0.8910	0.8906	0.9642	0.9440	0.8971
-3.7516	128.0006	27600	199.6519	0.9475	0.8646	0.8896	0.8854	0.9707	0.9366	0.8941
-3.7516	129.0005	27800	220.5109	0.9462	0.8645	0.8896	0.8857	0.9642	0.9481	0.8945
-3.7849	130.0004	28000	256.9283	0.9466	0.8681	0.8913	0.8916	0.9731	0.9569	0.8988
-3.7849	131.0003	28200	203.5657	0.9448	0.8488	0.8950	0.8869	0.9752	0.9561	0.8984
-3.7849	132.0001	28400	186.0009	0.9458	0.8648	0.8881	0.8876	0.9701	0.9511	0.8951
-3.7982	133.0000	28600	207.9511	0.9450	0.8708	0.8960	0.8928	0.9641	0.9524	0.9008
-3.7982	133.0015	28800	239.6458	0.9472	0.8702	0.8923	0.8954	0.9635	0.9479	0.9000
-3.8605	134.0014	29000	235.7538	0.9473	0.8719	0.8908	0.9002	0.9758	0.9621	0.9028
-3.8605	135.0013	29200	222.5632	0.9450	0.8696	0.8909	0.8953	0.9654	0.9564	0.8999
-3.8605	136.0012	29400	200.7051	0.9460	0.8714	0.8939	0.8961	0.9587	0.9557	0.9012
-3.8858	137.0011	29600	225.0491	0.9480	0.8714	0.8912	0.8981	0.9588	0.9583	0.9010
-3.8858	138.0010	29800	274.7282	0.9481	0.8751	0.8973	0.8996	0.9741	0.9650	0.9056
-3.9075	139.0009	30000	255.3598	0.9482	0.8717	0.8904	0.8995	0.9577	0.9637	0.9015
-3.9075	140.0007	30200	227.1151	0.9444	0.8705	0.8917	0.8965	0.9713	0.9552	0.9010
-3.9075	141.0006	30400	270.7787	0.9441	0.8740	0.8923	0.9021	0.9516	0.9476	0.9024
-3.9277	142.0005	30600	259.1267	0.9469	0.8726	0.8929	0.8987	0.9508	0.9515	0.9013
-3.9277	143.0004	30800	276.9511	0.9481	0.8579	0.8971	0.9025	0.9693	0.9566	0.9061
-3.9614	144.0003	31000	312.7984	0.9464	0.8728	0.8945	0.8974	0.9588	0.9486	0.9017
-3.9614	145.0002	31200	301.9355	0.9466	0.8742	0.8946	0.9002	0.9505	0.9539	0.9029
-3.9614	146.0001	31400	312.4669	0.9452	0.8710	0.8950	0.8947	0.9722	0.9601	0.9020
-3.9689	146.0016	31600	325.7057	0.9477	0.8757	0.8981	0.9005	0.9733	0.9596	0.9060
-3.9689	147.0014	31800	291.1428	0.9479	0.8764	0.8979	0.9014	0.9673	0.9628	0.9062
-4.0183	148.0013	32000	299.0480	0.9448	0.8790	0.9023	0.9049	0.9649	0.9602	0.9095
-4.0183	149.0012	32200	331.7352	0.9469	0.8759	0.8951	0.9034	0.9677	0.9648	0.9059
-4.0183	150.0011	32400	307.5857	0.9462	0.8737	0.8974	0.8977	0.9768	0.9571	0.9045
-4.0228	151.0010	32600	324.9153	0.9478	0.8765	0.8990	0.9012	0.9619	0.9601	0.9062
-4.0228	152.0009	32800	274.8054	0.9470	0.8757	0.8946	0.9045	0.9804	0.9647	0.9069
-4.0526	153.0008	33000	331.1863	0.9464	0.8785	0.9044	0.9003	0.9689	0.9550	0.9083
-4.0526	154.0007	33200	344.1861	0.9476	0.8784	0.9001	0.9039	0.9711	0.9584	0.9083
-4.0526	155.0006	33400	303.7578	0.9461	0.8778	0.9023	0.9013	0.9745	0.9636	0.9086
-4.0806	156.0004	33600	302.5806	0.9486	0.8801	0.9044	0.9036	0.9740	0.9631	0.9105
-4.0806	157.0003	33800	403.9025	0.9475	0.8585	0.8980	0.9025	0.9590	0.9580	0.9061
-4.109	158.0002	34000	416.3160	0.9476	0.8746	0.8969	0.8992	0.9640	0.9580	0.9043
-4.109	159.0001	34200	390.6382	0.9471	0.8777	0.9008	0.9032	0.9741	0.9603	0.9085
-4.109	159.0016	34400	356.7091	0.9473	0.8791	0.8990	0.9061	0.9588	0.9602	0.9082
-4.1079	160.0015	34600	349.4040	0.9489	0.8797	0.9024	0.9043	0.9704	0.9601	0.9095
-4.1079	161.0014	34800	281.3849	0.9474	0.8785	0.9043	0.9001	0.9700	0.9413	0.9076
-4.1174	162.0013	35000	399.9984	0.9502	0.8806	0.9043	0.9039	0.9716	0.9519	0.9099
-4.1174	163.0012	35200	337.5483	0.9458	0.8763	0.9038	0.8965	0.9588	0.9366	0.9049
-4.1174	164.0010	35400	367.3071	0.9461	0.8774	0.9012	0.9012	0.9719	0.9583	0.9076
-4.1792	165.0009	35600	420.3528	0.9475	0.8784	0.8998	0.9037	0.9740	0.9563	0.9081
-4.1792	166.0008	35800	431.8965	0.9501	0.8842	0.9046	0.9114	0.9641	0.9629	0.9135
-4.1824	167.0007	36000	437.3326	0.9499	0.8816	0.9056	0.9059	0.9748	0.9674	0.9123
-4.1824	168.0006	36200	452.7401	0.9456	0.8823	0.9063	0.9054	0.9717	0.9590	0.9118
-4.1824	169.0005	36400	446.1492	0.9459	0.8613	0.8989	0.9077	0.9647	0.9615	0.9093
-4.209	170.0004	36600	386.7854	0.9433	0.8589	0.9037	0.9001	0.9636	0.9483	0.9073
-4.209	171.0003	36800	482.8424	0.9499	0.8795	0.8983	0.9080	0.9768	0.9678	0.9101
-4.188	172.0001	37000	430.5189	0.9467	0.8796	0.9017	0.9052	0.9612	0.9481	0.9086
-4.188	173.0000	37200	458.2677	0.9466	0.8823	0.9088	0.9042	0.9754	0.9429	0.9118
-4.188	173.0015	37400	392.3132	0.9502	0.8834	0.9059	0.9092	0.9711	0.9539	0.9130
-4.2331	174.0014	37600	430.1387	0.9495	0.8825	0.8989	0.9129	0.9674	0.9657	0.9120
-4.2331	175.0013	37800	457.1144	0.9492	0.8750	0.8946	0.9020	0.9730	0.9593	0.9051
-4.262	176.0012	38000	437.1061	0.9487	0.8797	0.9020	0.9050	0.9774	0.9440	0.9092
-4.262	177.0011	38200	374.8222	0.9481	0.8818	0.9059	0.9056	0.9751	0.9540	0.9116
-4.262	178.0010	38400	524.2227	0.9477	0.8602	0.9000	0.9051	0.9568	0.9568	0.9080
-4.2876	179.0009	38600	451.9547	0.9481	0.8807	0.8994	0.9091	0.9653	0.9585	0.9100
-4.2876	180.0007	38800	404.0928	0.9502	0.8828	0.9040	0.9092	0.9690	0.9554	0.9122
-4.2863	181.0006	39000	462.6840	0.9471	0.8837	0.9064	0.9083	0.9756	0.9622	0.9135
-4.2863	182.0005	39200	481.8685	0.9476	0.8795	0.8977	0.9087	0.9745	0.9582	0.9095
-4.2863	183.0004	39400	348.9236	0.9458	0.8850	0.9043	0.9126	0.9527	0.9524	0.9129
-4.3158	184.0003	39600	479.5664	0.9461	0.8649	0.9067	0.9085	0.9744	0.9520	0.9132
-4.3158	185.0002	39800	484.0923	0.9483	0.8812	0.9064	0.9035	0.9688	0.9474	0.9103

Framework versions

Transformers 4.46.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.1

Arthur-Tsai/ht-stmini-cls-v7_ftis_noPretrain-tdso-m0drp0.5trp0.5-cssl-msm-bml

ht-stmini-cls-v7_ftis_noPretrain-tdso-m0drp0.5trp0.5-cssl-msm-bml

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Arthur-Tsai/
ht-stmini-cls-v7_ftis_noPretrain-tdso-m0drp0.5trp0.5-cssl-msm-bml