whisper-finetuned-amharic

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8114

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: 1e-05
• train_batch_size: 2
• eval_batch_size: 4
• 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
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.0978	0.0041	20	1.9778
1.8506	0.0082	40	1.8354
1.8044	0.0124	60	1.7793
1.7111	0.0165	80	1.7010
1.7237	0.0206	100	1.6850
1.6707	0.0247	120	1.6615
1.6513	0.0288	140	1.6326
1.6161	0.0330	160	1.6037
1.5421	0.0371	180	1.5783
1.5887	0.0412	200	1.5645
1.5452	0.0453	220	1.5594
1.5696	0.0494	240	1.5152
1.5494	0.0536	260	1.5352
1.5377	0.0577	280	1.4963
1.4844	0.0618	300	1.4738
1.472	0.0659	320	1.4541
1.4258	0.0700	340	1.4401
1.4584	0.0742	360	1.4238
1.3242	0.0783	380	1.3846
1.4089	0.0824	400	1.4159
1.3347	0.0865	420	1.4087
1.3462	0.0906	440	1.3640
1.3863	0.0947	460	1.3738
1.342	0.0989	480	1.3469
1.3616	0.1030	500	1.3458
1.3004	0.1071	520	1.3532
1.3927	0.1112	540	1.3248
1.284	0.1153	560	1.3213
1.3395	0.1195	580	1.3197
1.2993	0.1236	600	1.3291
1.3247	0.1277	620	1.3199
1.2882	0.1318	640	1.3141
1.3238	0.1359	660	1.3179
1.3457	0.1401	680	1.3072
1.3173	0.1442	700	1.2980
1.3386	0.1483	720	1.2862
1.2533	0.1524	740	1.2808
1.2865	0.1565	760	1.2798
1.3067	0.1607	780	1.2736
1.3059	0.1648	800	1.2656
1.2383	0.1689	820	1.2654
1.2901	0.1730	840	1.2679
1.2836	0.1771	860	1.2456
1.2744	0.1813	880	1.2432
1.1894	0.1854	900	1.2534
1.2899	0.1895	920	1.2711
1.2959	0.1936	940	1.2582
1.2445	0.1977	960	1.2477
1.2851	0.2019	980	1.2442
1.1976	0.2060	1000	1.2200
1.2421	0.2101	1020	1.2222
1.2107	0.2142	1040	1.2342
1.2196	0.2183	1060	1.2244
1.181	0.2225	1080	1.2229
1.229	0.2266	1100	1.2062
1.1434	0.2307	1120	1.2175
1.1874	0.2348	1140	1.2031
1.1677	0.2389	1160	1.2069
1.1724	0.2430	1180	1.2044
1.283	0.2472	1200	1.2136
1.2182	0.2513	1220	1.2062
1.2266	0.2554	1240	1.1992
1.1927	0.2595	1260	1.1878
1.2192	0.2636	1280	1.1753
1.0721	0.2678	1300	1.1867
1.2301	0.2719	1320	1.1845
1.1894	0.2760	1340	1.1814
1.1766	0.2801	1360	1.1720
1.22	0.2842	1380	1.1782
1.2297	0.2884	1400	1.1796
1.153	0.2925	1420	1.1710
1.1286	0.2966	1440	1.1766
1.1404	0.3007	1460	1.1706
1.1456	0.3048	1480	1.1629
1.146	0.3090	1500	1.1599
1.1114	0.3131	1520	1.1537
1.12	0.3172	1540	1.1523
1.1525	0.3213	1560	1.1484
1.1635	0.3254	1580	1.1515
1.1916	0.3296	1600	1.1394
1.1736	0.3337	1620	1.1463
1.1603	0.3378	1640	1.1412
1.1913	0.3419	1660	1.1568
1.173	0.3460	1680	1.1537
1.1628	0.3502	1700	1.1320
1.0838	0.3543	1720	1.1512
1.1442	0.3584	1740	1.1492
1.1751	0.3625	1760	1.1321
1.1373	0.3666	1780	1.1157
1.0922	0.3708	1800	1.1310
1.1286	0.3749	1820	1.1186
1.1462	0.3790	1840	1.1158
1.0795	0.3831	1860	1.1161
1.0953	0.3872	1880	1.1136
1.0654	0.3913	1900	1.1077
1.0967	0.3955	1920	1.1129
1.1025	0.3996	1940	1.1275
1.0445	0.4037	1960	1.1038
1.1986	0.4078	1980	1.1085
1.1526	0.4119	2000	1.1002
1.0884	0.4161	2020	1.0980
1.0376	0.4202	2040	1.1000
1.1593	0.4243	2060	1.1078
1.0509	0.4284	2080	1.0981
1.0918	0.4325	2100	1.0960
1.1137	0.4367	2120	1.0898
1.0235	0.4408	2140	1.0906
1.1283	0.4449	2160	1.0975
1.1948	0.4490	2180	1.0984
1.0926	0.4531	2200	1.0818
1.1087	0.4573	2220	1.0856
1.1264	0.4614	2240	1.0841
1.0718	0.4655	2260	1.0807
1.0124	0.4696	2280	1.0845
1.1067	0.4737	2300	1.0782
1.0157	0.4779	2320	1.0707
1.1068	0.4820	2340	1.0912
1.0241	0.4861	2360	1.0651
1.0989	0.4902	2380	1.0654
1.0038	0.4943	2400	1.0616
1.0427	0.4985	2420	1.0651
1.0118	0.5026	2440	1.0667
1.1107	0.5067	2460	1.0725
1.0475	0.5108	2480	1.0794
1.1743	0.5149	2500	1.0694
1.1186	0.5191	2520	1.0606
1.0571	0.5232	2540	1.0662
1.0248	0.5273	2560	1.0543
1.0209	0.5314	2580	1.0586
1.1062	0.5355	2600	1.0593
1.0541	0.5396	2620	1.0496
1.0337	0.5438	2640	1.0517
1.0281	0.5479	2660	1.0575
1.0804	0.5520	2680	1.0470
1.109	0.5561	2700	1.0592
1.0249	0.5602	2720	1.0489
1.0298	0.5644	2740	1.0427
1.0276	0.5685	2760	1.0425
1.1196	0.5726	2780	1.0458
1.1133	0.5767	2800	1.0469
1.1149	0.5808	2820	1.0499
1.0138	0.5850	2840	1.0416
1.052	0.5891	2860	1.0426
1.0127	0.5932	2880	1.0373
0.908	0.5973	2900	1.0310
0.9791	0.6014	2920	1.0365
1.0311	0.6056	2940	1.0407
1.0057	0.6097	2960	1.0302
1.0467	0.6138	2980	1.0362
1.0534	0.6179	3000	1.0281
0.9923	0.6220	3020	1.0304
0.9981	0.6262	3040	1.0323
0.9702	0.6303	3060	1.0218
1.06	0.6344	3080	1.0289
1.0998	0.6385	3100	1.0373
1.0075	0.6426	3120	1.0253
1.0982	0.6468	3140	1.0251
0.9902	0.6509	3160	1.0188
0.9507	0.6550	3180	1.0281
1.0516	0.6591	3200	1.0240
0.9437	0.6632	3220	1.0223
1.0191	0.6674	3240	1.0226
1.0189	0.6715	3260	1.0154
1.0239	0.6756	3280	1.0182
1.0327	0.6797	3300	1.0139
1.0552	0.6838	3320	1.0113
0.9963	0.6880	3340	1.0122
0.953	0.6921	3360	1.0131
0.936	0.6962	3380	1.0146
1.0922	0.7003	3400	1.0084
1.0603	0.7044	3420	1.0147
0.9702	0.7085	3440	1.0068
0.9983	0.7127	3460	1.0140
0.9744	0.7168	3480	1.0021
1.0508	0.7209	3500	1.0017
1.0455	0.7250	3520	1.0104
0.9013	0.7291	3540	1.0063
1.0408	0.7333	3560	1.0057
0.9732	0.7374	3580	0.9966
0.9897	0.7415	3600	0.9998
1.0458	0.7456	3620	0.9993
0.994	0.7497	3640	0.9885
1.0072	0.7539	3660	0.9964
0.9684	0.7580	3680	0.9917
0.9973	0.7621	3700	0.9902
0.8989	0.7662	3720	0.9952
1.0467	0.7703	3740	0.9932
1.0784	0.7745	3760	0.9974
1.0303	0.7786	3780	0.9961
0.9688	0.7827	3800	0.9980
0.9375	0.7868	3820	0.9952
1.0151	0.7909	3840	0.9954
0.9885	0.7951	3860	0.9920
0.9538	0.7992	3880	0.9895
0.9885	0.8033	3900	1.0004
0.9724	0.8074	3920	0.9877
1.0124	0.8115	3940	0.9855
1.0138	0.8157	3960	0.9856
0.9398	0.8198	3980	0.9795
1.0211	0.8239	4000	0.9879
0.9793	0.8280	4020	0.9848
0.9458	0.8321	4040	0.9796
1.0174	0.8363	4060	0.9864
0.9803	0.8404	4080	0.9820
0.995	0.8445	4100	0.9826
1.0581	0.8486	4120	0.9875
0.9638	0.8527	4140	0.9828
1.0457	0.8568	4160	0.9807
0.9284	0.8610	4180	0.9785
0.9868	0.8651	4200	0.9831
1.0038	0.8692	4220	0.9789
0.9456	0.8733	4240	0.9804
1.0086	0.8774	4260	0.9819
1.0214	0.8816	4280	0.9807
0.9635	0.8857	4300	0.9690
0.9677	0.8898	4320	0.9690
1.0304	0.8939	4340	0.9651
0.9568	0.8980	4360	0.9732
1.0048	0.9022	4380	0.9781
0.9175	0.9063	4400	0.9674
0.9426	0.9104	4420	0.9670
0.9757	0.9145	4440	0.9665
1.0229	0.9186	4460	0.9666
0.9953	0.9228	4480	0.9639
0.9697	0.9269	4500	0.9704
0.9604	0.9310	4520	0.9648
0.9769	0.9351	4540	0.9648
1.026	0.9392	4560	0.9602
0.973	0.9434	4580	0.9550
1.0324	0.9475	4600	0.9581
0.9851	0.9516	4620	0.9601
0.9867	0.9557	4640	0.9580
1.0318	0.9598	4660	0.9587
0.9171	0.9640	4680	0.9575
0.9641	0.9681	4700	0.9561
0.9723	0.9722	4720	0.9619
0.9317	0.9763	4740	0.9497
1.0004	0.9804	4760	0.9588
1.025	0.9846	4780	0.9567
0.9777	0.9887	4800	0.9492
1.0208	0.9928	4820	0.9559
1.0746	0.9969	4840	0.9643
1.0275	1.0010	4860	0.9594
0.8296	1.0051	4880	0.9552
0.9332	1.0093	4900	0.9506
0.9256	1.0134	4920	0.9512
0.8819	1.0175	4940	0.9490
0.9515	1.0216	4960	0.9478
0.854	1.0257	4980	0.9485
0.9026	1.0299	5000	0.9526
0.9773	1.0340	5020	0.9535
0.8903	1.0381	5040	0.9462
0.9912	1.0422	5060	0.9477
0.9346	1.0463	5080	0.9498
1.0057	1.0505	5100	0.9487
0.9898	1.0546	5120	0.9439
0.8837	1.0587	5140	0.9440
0.9829	1.0628	5160	0.9498
0.9206	1.0669	5180	0.9519
0.8198	1.0711	5200	0.9440
0.8616	1.0752	5220	0.9476
0.8637	1.0793	5240	0.9394
0.9504	1.0834	5260	0.9461
0.9204	1.0875	5280	0.9490
0.8972	1.0917	5300	0.9457
0.9312	1.0958	5320	0.9430
0.9086	1.0999	5340	0.9395
0.9145	1.1040	5360	0.9412
0.8813	1.1081	5380	0.9379
0.9044	1.1123	5400	0.9376
0.8745	1.1164	5420	0.9369
1.0635	1.1205	5440	0.9452
0.877	1.1246	5460	0.9409
0.8745	1.1287	5480	0.9395
0.9461	1.1329	5500	0.9383
0.854	1.1370	5520	0.9318
0.9022	1.1411	5540	0.9417
0.9096	1.1452	5560	0.9377
0.9224	1.1493	5580	0.9350
0.9451	1.1535	5600	0.9424
0.9024	1.1576	5620	0.9350
0.8868	1.1617	5640	0.9314
0.8026	1.1658	5660	0.9347
0.9679	1.1699	5680	0.9321
0.9023	1.1740	5700	0.9332
0.8958	1.1782	5720	0.9293
0.8533	1.1823	5740	0.9301
0.8691	1.1864	5760	0.9302
0.8978	1.1905	5780	0.9307
0.9436	1.1946	5800	0.9270
0.8455	1.1988	5820	0.9286
0.9502	1.2029	5840	0.9249
0.8574	1.2070	5860	0.9278
0.8192	1.2111	5880	0.9255
0.925	1.2152	5900	0.9318
0.9156	1.2194	5920	0.9347
0.8993	1.2235	5940	0.9265
0.9653	1.2276	5960	0.9239
0.8515	1.2317	5980	0.9269
0.8886	1.2358	6000	0.9327
0.9035	1.2400	6020	0.9240
0.8989	1.2441	6040	0.9239
0.9869	1.2482	6060	0.9256
0.8936	1.2523	6080	0.9241
1.0631	1.2564	6100	0.9294
0.849	1.2606	6120	0.9255
0.8931	1.2647	6140	0.9183
0.9883	1.2688	6160	0.9247
0.8843	1.2729	6180	0.9255
0.9129	1.2770	6200	0.9195
0.8172	1.2812	6220	0.9191
0.8773	1.2853	6240	0.9171
0.9069	1.2894	6260	0.9150
0.8718	1.2935	6280	0.9201
0.8114	1.2976	6300	0.9135
0.958	1.3018	6320	0.9170
0.9133	1.3059	6340	0.9188
0.8642	1.3100	6360	0.9126
0.8799	1.3141	6380	0.9105
0.9457	1.3182	6400	0.9148
0.9419	1.3223	6420	0.9140
0.893	1.3265	6440	0.9113
0.9262	1.3306	6460	0.9146
0.9249	1.3347	6480	0.9130
0.898	1.3388	6500	0.9115
0.9299	1.3429	6520	0.9110
0.8713	1.3471	6540	0.9089
0.9058	1.3512	6560	0.9101
0.8458	1.3553	6580	0.9096
0.8879	1.3594	6600	0.9092
0.9145	1.3635	6620	0.9106
0.883	1.3677	6640	0.9093
0.9377	1.3718	6660	0.9118
0.8897	1.3759	6680	0.9148
0.9215	1.3800	6700	0.9056
0.9128	1.3841	6720	0.9038
0.8559	1.3883	6740	0.9073
0.872	1.3924	6760	0.9071
0.9034	1.3965	6780	0.9036
0.8394	1.4006	6800	0.9078
0.8462	1.4047	6820	0.9075
0.9192	1.4089	6840	0.9066
0.8517	1.4130	6860	0.9061
0.8718	1.4171	6880	0.9070
0.9223	1.4212	6900	0.9024
0.8657	1.4253	6920	0.9017
0.9409	1.4295	6940	0.9045
0.8489	1.4336	6960	0.9026
0.801	1.4377	6980	0.9098
0.8344	1.4418	7000	0.9049
0.9148	1.4459	7020	0.9065
0.8866	1.4501	7040	0.9055
0.8372	1.4542	7060	0.9015
0.9259	1.4583	7080	0.9001
0.8368	1.4624	7100	0.9049
0.8413	1.4665	7120	0.9016
0.8499	1.4706	7140	0.8973
0.8758	1.4748	7160	0.8946
0.8847	1.4789	7180	0.8942
0.8508	1.4830	7200	0.8939
0.9425	1.4871	7220	0.8973
0.8382	1.4912	7240	0.8933
0.8493	1.4954	7260	0.8979
0.8921	1.4995	7280	0.8956
0.8423	1.5036	7300	0.8941
0.8524	1.5077	7320	0.8969
0.8776	1.5118	7340	0.8947
0.86	1.5160	7360	0.8904
0.8344	1.5201	7380	0.8923
0.8704	1.5242	7400	0.8914
0.8488	1.5283	7420	0.8924
0.8385	1.5324	7440	0.8911
0.7796	1.5366	7460	0.8869
0.8205	1.5407	7480	0.8892
0.9601	1.5448	7500	0.8944
0.9519	1.5489	7520	0.8899
0.844	1.5530	7540	0.8914
0.8241	1.5572	7560	0.8896
0.8727	1.5613	7580	0.8898
0.8624	1.5654	7600	0.8899
0.8724	1.5695	7620	0.8881
0.8468	1.5736	7640	0.8955
0.8344	1.5778	7660	0.8877
0.8128	1.5819	7680	0.8928
0.9031	1.5860	7700	0.8862
0.9032	1.5901	7720	0.8841
0.8799	1.5942	7740	0.8868
0.9146	1.5984	7760	0.8866
0.9039	1.6025	7780	0.8843
0.8316	1.6066	7800	0.8855
0.8211	1.6107	7820	0.8828
0.7665	1.6148	7840	0.8872
0.8297	1.6189	7860	0.8791
0.8578	1.6231	7880	0.8821
0.8473	1.6272	7900	0.8855
0.8406	1.6313	7920	0.8837
0.8129	1.6354	7940	0.8842
0.8213	1.6395	7960	0.8829
0.8473	1.6437	7980	0.8805
0.8883	1.6478	8000	0.8805
0.8706	1.6519	8020	0.8767
0.9173	1.6560	8040	0.8811
0.8589	1.6601	8060	0.8781
0.8991	1.6643	8080	0.8767
0.8023	1.6684	8100	0.8816
0.8294	1.6725	8120	0.8759
0.9069	1.6766	8140	0.8763
0.7704	1.6807	8160	0.8803
0.8427	1.6849	8180	0.8770
0.8605	1.6890	8200	0.8767
0.7483	1.6931	8220	0.8815
0.7809	1.6972	8240	0.8756
0.8554	1.7013	8260	0.8718
0.7989	1.7055	8280	0.8753
0.8838	1.7096	8300	0.8733
0.9139	1.7137	8320	0.8771
0.7646	1.7178	8340	0.8745
0.8245	1.7219	8360	0.8722
0.8287	1.7261	8380	0.8772
0.9077	1.7302	8400	0.8715
0.922	1.7343	8420	0.8746
0.8562	1.7384	8440	0.8707
0.8779	1.7425	8460	0.8726
0.8489	1.7467	8480	0.8698
0.8141	1.7508	8500	0.8696
0.8665	1.7549	8520	0.8695
0.891	1.7590	8540	0.8672
0.8423	1.7631	8560	0.8675
0.8411	1.7673	8580	0.8763
0.9037	1.7714	8600	0.8677
0.8795	1.7755	8620	0.8700
0.8662	1.7796	8640	0.8680
0.9652	1.7837	8660	0.8667
0.9006	1.7878	8680	0.8681
0.8682	1.7920	8700	0.8682
0.8092	1.7961	8720	0.8676
0.8291	1.8002	8740	0.8707
0.7728	1.8043	8760	0.8650
0.7221	1.8084	8780	0.8639
0.793	1.8126	8800	0.8690
0.7911	1.8167	8820	0.8688
0.8282	1.8208	8840	0.8632
0.7805	1.8249	8860	0.8608
0.7558	1.8290	8880	0.8658
0.845	1.8332	8900	0.8637
0.8793	1.8373	8920	0.8618
0.8652	1.8414	8940	0.8608
0.82	1.8455	8960	0.8649
0.8436	1.8496	8980	0.8629
0.8332	1.8538	9000	0.8633
0.8415	1.8579	9020	0.8654
0.954	1.8620	9040	0.8611
0.8027	1.8661	9060	0.8594
0.8409	1.8702	9080	0.8647
0.7813	1.8744	9100	0.8561
0.8329	1.8785	9120	0.8582
0.7458	1.8826	9140	0.8595
0.8698	1.8867	9160	0.8560
0.8993	1.8908	9180	0.8569
0.857	1.8950	9200	0.8572
0.8256	1.8991	9220	0.8577
0.8638	1.9032	9240	0.8550
0.7552	1.9073	9260	0.8547
0.823	1.9114	9280	0.8592
0.8272	1.9156	9300	0.8566
0.8377	1.9197	9320	0.8551
0.7552	1.9238	9340	0.8563
0.7608	1.9279	9360	0.8550
0.798	1.9320	9380	0.8545
0.7658	1.9361	9400	0.8569
0.8478	1.9403	9420	0.8534
0.7007	1.9444	9440	0.8544
0.8101	1.9485	9460	0.8529
0.87	1.9526	9480	0.8559
0.805	1.9567	9500	0.8546
0.8419	1.9609	9520	0.8516
0.7948	1.9650	9540	0.8540
0.7692	1.9691	9560	0.8521
0.7549	1.9732	9580	0.8516
0.9239	1.9773	9600	0.8502
0.8891	1.9815	9620	0.8489
0.7945	1.9856	9640	0.8504
0.8075	1.9897	9660	0.8546
0.8233	1.9938	9680	0.8481
0.8384	1.9979	9700	0.8487
0.751	2.0021	9720	0.8505
0.7574	2.0062	9740	0.8526
0.7388	2.0103	9760	0.8515
0.7813	2.0144	9780	0.8563
0.7382	2.0185	9800	0.8510
0.7538	2.0227	9820	0.8495
0.6481	2.0268	9840	0.8525
0.7624	2.0309	9860	0.8553
0.7371	2.0350	9880	0.8525
0.797	2.0391	9900	0.8518
0.7796	2.0433	9920	0.8482
0.7855	2.0474	9940	0.8509
0.6841	2.0515	9960	0.8514
0.6957	2.0556	9980	0.8536
0.7276	2.0597	10000	0.8561
0.8153	2.0639	10020	0.8491
0.7823	2.0680	10040	0.8591
0.7776	2.0721	10060	0.8473
0.7793	2.0762	10080	0.8473
0.7132	2.0803	10100	0.8538
0.7241	2.0844	10120	0.8486
0.7653	2.0886	10140	0.8466
0.699	2.0927	10160	0.8551
0.7654	2.0968	10180	0.8492
0.7857	2.1009	10200	0.8492
0.693	2.1050	10220	0.8488
0.7709	2.1092	10240	0.8461
0.7785	2.1133	10260	0.8445
0.6876	2.1174	10280	0.8513
0.7334	2.1215	10300	0.8472
0.735	2.1256	10320	0.8479
0.7527	2.1298	10340	0.8426
0.6592	2.1339	10360	0.8498
0.7611	2.1380	10380	0.8484
0.6425	2.1421	10400	0.8491
0.7494	2.1462	10420	0.8443
0.8386	2.1504	10440	0.8441
0.6441	2.1545	10460	0.8460
0.7394	2.1586	10480	0.8448
0.8004	2.1627	10500	0.8420
0.8169	2.1668	10520	0.8426
0.7549	2.1710	10540	0.8427
0.824	2.1751	10560	0.8442
0.6927	2.1792	10580	0.8450
0.7661	2.1833	10600	0.8457
0.8183	2.1874	10620	0.8426
0.7851	2.1916	10640	0.8413
0.7259	2.1957	10660	0.8448
0.7474	2.1998	10680	0.8437
0.7226	2.2039	10700	0.8424
0.7335	2.2080	10720	0.8405
0.7986	2.2122	10740	0.8436
0.6638	2.2163	10760	0.8425
0.8076	2.2204	10780	0.8424
0.7585	2.2245	10800	0.8454
0.7765	2.2286	10820	0.8403
0.8159	2.2327	10840	0.8413
0.8011	2.2369	10860	0.8427
0.7786	2.2410	10880	0.8424
0.7881	2.2451	10900	0.8404
0.6669	2.2492	10920	0.8429
0.7561	2.2533	10940	0.8398
0.7703	2.2575	10960	0.8394
0.7906	2.2616	10980	0.8360
0.7421	2.2657	11000	0.8508
0.7397	2.2698	11020	0.8394
0.7815	2.2739	11040	0.8362
0.7585	2.2781	11060	0.8382
0.754	2.2822	11080	0.8406
0.8296	2.2863	11100	0.8404
0.7463	2.2904	11120	0.8411
0.7855	2.2945	11140	0.8389
0.7637	2.2987	11160	0.8394
0.7582	2.3028	11180	0.8422
0.5959	2.3069	11200	0.8401
0.7865	2.3110	11220	0.8397
0.7653	2.3151	11240	0.8383
0.7027	2.3193	11260	0.8404
0.7969	2.3234	11280	0.8365
0.7604	2.3275	11300	0.8362
0.7158	2.3316	11320	0.8365
0.7134	2.3357	11340	0.8378
0.6978	2.3399	11360	0.8379
0.7858	2.3440	11380	0.8362
0.682	2.3481	11400	0.8365
0.7026	2.3522	11420	0.8384
0.7634	2.3563	11440	0.8361
0.7598	2.3605	11460	0.8316
0.7578	2.3646	11480	0.8338
0.8199	2.3687	11500	0.8350
0.7463	2.3728	11520	0.8347
0.741	2.3769	11540	0.8353
0.7017	2.3811	11560	0.8323
0.8387	2.3852	11580	0.8310
0.8382	2.3893	11600	0.8296
0.7314	2.3934	11620	0.8316
0.7066	2.3975	11640	0.8367
0.7313	2.4016	11660	0.8353
0.8252	2.4058	11680	0.8317
0.7235	2.4099	11700	0.8306
0.7289	2.4140	11720	0.8292
0.7647	2.4181	11740	0.8333
0.744	2.4222	11760	0.8338
0.6946	2.4264	11780	0.8368
0.7482	2.4305	11800	0.8312
0.7251	2.4346	11820	0.8320
0.7303	2.4387	11840	0.8322
0.7184	2.4428	11860	0.8334
0.7793	2.4470	11880	0.8310
0.7766	2.4511	11900	0.8290
0.6827	2.4552	11920	0.8325
0.7096	2.4593	11940	0.8333
0.7348	2.4634	11960	0.8301
0.7178	2.4676	11980	0.8329
0.7419	2.4717	12000	0.8318
0.7639	2.4758	12020	0.8309
0.7739	2.4799	12040	0.8288
0.7226	2.4840	12060	0.8315
0.7265	2.4882	12080	0.8287
0.7482	2.4923	12100	0.8296
0.7635	2.4964	12120	0.8283
0.7187	2.5005	12140	0.8268
0.7164	2.5046	12160	0.8302
0.7135	2.5088	12180	0.8299
0.6814	2.5129	12200	0.8290
0.8484	2.5170	12220	0.8302
0.7165	2.5211	12240	0.8272
0.8388	2.5252	12260	0.8287
0.6876	2.5294	12280	0.8270
0.7713	2.5335	12300	0.8270
0.7432	2.5376	12320	0.8271
0.6697	2.5417	12340	0.8263
0.8541	2.5458	12360	0.8270
0.7197	2.5499	12380	0.8276
0.7114	2.5541	12400	0.8276
0.7817	2.5582	12420	0.8268
0.5925	2.5623	12440	0.8257
0.6982	2.5664	12460	0.8271
0.7782	2.5705	12480	0.8254
0.8008	2.5747	12500	0.8235
0.7323	2.5788	12520	0.8247
0.682	2.5829	12540	0.8253
0.6887	2.5870	12560	0.8232
0.7733	2.5911	12580	0.8224
0.8168	2.5953	12600	0.8217
0.7616	2.5994	12620	0.8236
0.7101	2.6035	12640	0.8223
0.7482	2.6076	12660	0.8218
0.7592	2.6117	12680	0.8245
0.7882	2.6159	12700	0.8243
0.722	2.6200	12720	0.8228
0.6763	2.6241	12740	0.8233
0.8014	2.6282	12760	0.8235
0.6878	2.6323	12780	0.8233
0.649	2.6365	12800	0.8256
0.745	2.6406	12820	0.8254
0.5849	2.6447	12840	0.8222
0.6848	2.6488	12860	0.8217
0.6454	2.6529	12880	0.8233
0.7352	2.6571	12900	0.8251
0.7437	2.6612	12920	0.8211
0.7274	2.6653	12940	0.8191
0.777	2.6694	12960	0.8208
0.8306	2.6735	12980	0.8195
0.6729	2.6777	13000	0.8203
0.6804	2.6818	13020	0.8216
0.7774	2.6859	13040	0.8220
0.7085	2.6900	13060	0.8190
0.6627	2.6941	13080	0.8215
0.7339	2.6982	13100	0.8197
0.7734	2.7024	13120	0.8188
0.6868	2.7065	13140	0.8182
0.7016	2.7106	13160	0.8221
0.7896	2.7147	13180	0.8190
0.9062	2.7188	13200	0.8174
0.6637	2.7230	13220	0.8170
0.7126	2.7271	13240	0.8190
0.7758	2.7312	13260	0.8201
0.6516	2.7353	13280	0.8215
0.6908	2.7394	13300	0.8225
0.7139	2.7436	13320	0.8210
0.6982	2.7477	13340	0.8188
0.6498	2.7518	13360	0.8194
0.6556	2.7559	13380	0.8228
0.6993	2.7600	13400	0.8200
0.7605	2.7642	13420	0.8173
0.7679	2.7683	13440	0.8156
0.7458	2.7724	13460	0.8155
0.7166	2.7765	13480	0.8166
0.849	2.7806	13500	0.8165
0.6647	2.7848	13520	0.8164
0.8369	2.7889	13540	0.8157
0.7742	2.7930	13560	0.8147
0.7127	2.7971	13580	0.8146
0.7035	2.8012	13600	0.8150
0.6829	2.8054	13620	0.8154
0.734	2.8095	13640	0.8161
0.6702	2.8136	13660	0.8153
0.7275	2.8177	13680	0.8154
0.7756	2.8218	13700	0.8143
0.6237	2.8260	13720	0.8146
0.6718	2.8301	13740	0.8148
0.7152	2.8342	13760	0.8157
0.7183	2.8383	13780	0.8151
0.764	2.8424	13800	0.8150
0.793	2.8465	13820	0.8141
0.7196	2.8507	13840	0.8138
0.7478	2.8548	13860	0.8142
0.7378	2.8589	13880	0.8146
0.7306	2.8630	13900	0.8140
0.6825	2.8671	13920	0.8142
0.7346	2.8713	13940	0.8133
0.6969	2.8754	13960	0.8140
0.6789	2.8795	13980	0.8146
0.6697	2.8836	14000	0.8145
0.7813	2.8877	14020	0.8139
0.6834	2.8919	14040	0.8135
0.7115	2.8960	14060	0.8133
0.6401	2.9001	14080	0.8145
0.6295	2.9042	14100	0.8149
0.7214	2.9083	14120	0.8149
0.761	2.9125	14140	0.8144
0.6823	2.9166	14160	0.8141
0.7	2.9207	14180	0.8144
0.7894	2.9248	14200	0.8137
0.7357	2.9289	14220	0.8128
0.7249	2.9331	14240	0.8122
0.7099	2.9372	14260	0.8121
0.7599	2.9413	14280	0.8120
0.7734	2.9454	14300	0.8121
0.7443	2.9495	14320	0.8118
0.7499	2.9537	14340	0.8119
0.735	2.9578	14360	0.8121
0.7023	2.9619	14380	0.8122
0.7577	2.9660	14400	0.8121
0.7034	2.9701	14420	0.8118
0.6807	2.9743	14440	0.8117
0.6576	2.9784	14460	0.8115
0.7498	2.9825	14480	0.8114
0.7551	2.9866	14500	0.8113
0.775	2.9907	14520	0.8113
0.6993	2.9949	14540	0.8113
0.6936	2.9990	14560	0.8114

Framework versions

• Transformers 4.49.0.dev0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0