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americasnlp-lct-ehu/
es_fi_orig

Name: es_fi_orig
Availability: InStock

generated_from_trainer

apache-2.0

endpoints_compatible

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es_fi_orig_quy

This model is a fine-tuned version of Helsinki-NLP/opus-mt-es-fi on the AmericasNLP2023 Original Task's dataset for Quechua. It achieves the following results on the evaluation set:

Loss: 0.5414
Bleu: 2.4777
Chrf: 35.3072
Gen Len: 33.2767

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Chrf	Gen Len
0.9069	0.06	500	0.7130	0.7729	17.9749	44.4678
0.539	0.12	1000	0.6747	0.7711	20.5427	40.504
0.4832	0.18	1500	0.6461	0.8605	21.6266	40.7505
0.45	0.24	2000	0.6304	0.9152	22.8153	35.6489
0.4192	0.31	2500	0.6239	0.9358	23.6102	34.1469
0.4061	0.37	3000	0.6108	1.183	25.1705	34.0684
0.3864	0.43	3500	0.5939	1.2459	26.0102	33.6217
0.3762	0.49	4000	0.5876	1.3822	26.3468	33.7304
0.3669	0.55	4500	0.5796	1.6164	26.7314	32.5785
0.3591	0.61	5000	0.5795	1.2637	26.7829	31.6338
0.3471	0.67	5500	0.5758	1.6099	28.2004	33.7042
0.3368	0.73	6000	0.5678	1.5843	28.6728	36.1087
0.332	0.8	6500	0.5623	1.4817	28.141	33.2062
0.3305	0.86	7000	0.5592	1.6164	28.5089	33.7968
0.325	0.92	7500	0.5554	1.7755	29.4873	33.659
0.3148	0.98	8000	0.5534	1.4771	29.2475	32.9517
0.306	1.04	8500	0.5503	1.6723	30.3463	34.3541
0.2999	1.1	9000	0.5498	1.7604	30.4026	34.3531
0.2979	1.16	9500	0.5470	1.6658	30.6424	34.3038
0.2875	1.22	10000	0.5447	1.6232	30.6178	32.7374
0.2885	1.29	10500	0.5468	1.4892	30.536	33.5704
0.2914	1.35	11000	0.5397	1.7088	30.4463	32.665
0.2873	1.41	11500	0.5385	1.4307	31.359	32.6006
0.2821	1.47	12000	0.5391	1.6375	31.2201	33.7616
0.2813	1.53	12500	0.5343	1.7664	31.2716	32.8048
0.2795	1.59	13000	0.5390	1.6373	31.4692	33.2354
0.2766	1.65	13500	0.5333	1.6973	31.9842	34.3099
0.2726	1.71	14000	0.5342	1.9934	32.0932	34.7022
0.2696	1.77	14500	0.5316	1.7776	32.1299	33.3531
0.2732	1.84	15000	0.5274	1.5068	32.156	33.7404
0.2732	1.9	15500	0.5281	1.8983	32.123	32.7274
0.2695	1.96	16000	0.5285	1.7102	32.3456	34.7596
0.2609	2.02	16500	0.5299	1.8289	32.4311	32.169
0.2566	2.08	17000	0.5259	2.3307	32.4029	32.6801
0.2546	2.14	17500	0.5262	1.7847	32.4796	32.5594
0.2575	2.2	18000	0.5278	1.7378	32.6314	33.5493
0.2537	2.26	18500	0.5256	1.8299	32.4598	32.7515
0.2496	2.33	19000	0.5269	1.4243	32.4538	32.6368
0.2492	2.39	19500	0.5264	1.7878	32.4759	32.7958
0.2511	2.45	20000	0.5230	1.7877	32.7906	33.0956
0.2502	2.51	20500	0.5211	1.8735	33.2824	34.0503
0.2468	2.57	21000	0.5227	2.0487	33.1002	32.9849
0.2445	2.63	21500	0.5206	2.0547	33.3626	32.7867
0.2455	2.69	22000	0.5202	1.968	33.0031	32.9658
0.2489	2.75	22500	0.5195	2.0145	32.9789	32.5926
0.2385	2.82	23000	0.5180	2.0486	33.2563	33.337
0.2421	2.88	23500	0.5162	2.1097	33.0014	33.4105
0.2414	2.94	24000	0.5148	1.9033	33.1448	33.4175
0.2445	3.0	24500	0.5207	1.8791	32.9875	32.8018
0.2329	3.06	25000	0.5216	2.2176	33.6869	33.8642
0.2289	3.12	25500	0.5160	1.8891	33.3863	32.2857
0.2336	3.18	26000	0.5144	2.0862	33.4626	33.6097
0.2279	3.24	26500	0.5163	2.1618	33.7683	32.8773
0.2308	3.3	27000	0.5188	2.3628	34.06	33.7133
0.2313	3.37	27500	0.5188	1.6833	33.9596	33.7032
0.2308	3.43	28000	0.5165	2.1626	33.651	33.4507
0.2238	3.49	28500	0.5162	1.8525	33.2934	32.3511
0.2263	3.55	29000	0.5163	2.0621	33.4168	32.8561
0.2265	3.61	29500	0.5134	2.361	34.0822	33.0272
0.2256	3.67	30000	0.5128	2.289	33.938	33.6016
0.2277	3.73	30500	0.5153	1.8415	33.7406	34.1761
0.227	3.79	31000	0.5130	2.0473	33.2757	33.3571
0.2296	3.86	31500	0.5140	1.9687	33.6899	33.1459
0.2256	3.92	32000	0.5145	2.1504	33.8796	33.6278
0.2279	3.98	32500	0.5101	1.802	33.982	33.2414
0.2172	4.04	33000	0.5180	2.3048	34.348	33.167
0.2135	4.1	33500	0.5154	2.2467	34.1301	33.0382
0.2154	4.16	34000	0.5159	1.9384	34.2688	33.5855
0.2169	4.22	34500	0.5177	2.3588	34.2068	33.3954
0.216	4.28	35000	0.5160	2.0115	33.7004	33.3612
0.216	4.35	35500	0.5139	1.5035	33.8102	32.6217
0.2139	4.41	36000	0.5126	2.359	34.1215	33.6761
0.2168	4.47	36500	0.5105	2.1176	33.7094	32.5352
0.2155	4.53	37000	0.5144	2.1564	33.3474	32.1881
0.2156	4.59	37500	0.5118	2.0	33.9916	32.9537
0.2135	4.65	38000	0.5124	2.3122	34.095	32.667
0.2138	4.71	38500	0.5115	1.9716	33.9118	32.5644
0.2107	4.77	39000	0.5145	2.2866	34.4234	33.2153
0.2083	4.83	39500	0.5122	2.0444	34.6246	33.8491
0.2141	4.9	40000	0.5125	2.0011	34.6505	33.7384
0.2087	4.96	40500	0.5149	2.3504	34.1777	33.339
0.2113	5.02	41000	0.5160	2.2727	34.0993	33.4779
0.2019	5.08	41500	0.5143	2.3324	34.613	33.4376
0.206	5.14	42000	0.5154	2.1462	34.758	33.4437
0.2013	5.2	42500	0.5175	2.3562	34.2422	32.3511
0.2032	5.26	43000	0.5160	2.3984	34.645	32.5604
0.2068	5.32	43500	0.5159	2.2794	34.4269	32.8742
0.204	5.39	44000	0.5132	2.3506	34.7618	33.9487
0.2028	5.45	44500	0.5153	2.4088	34.9393	33.5131
0.2004	5.51	45000	0.5172	2.4071	34.3887	33.1006
0.2021	5.57	45500	0.5106	2.0544	34.1071	33.7404
0.2058	5.63	46000	0.5126	1.9098	34.6397	33.7807
0.2015	5.69	46500	0.5115	2.3614	34.25	32.8571
0.2038	5.75	47000	0.5094	2.0321	34.1132	32.6932
0.2021	5.81	47500	0.5147	2.2524	34.7776	33.4276
0.2041	5.88	48000	0.5154	2.2605	34.323	32.9769
0.2009	5.94	48500	0.5137	2.2593	34.8502	33.499
0.2025	6.0	49000	0.5103	2.3048	34.4908	33.4789
0.193	6.06	49500	0.5170	2.1498	34.3672	33.3612
0.193	6.12	50000	0.5151	2.5941	34.9481	33.336
0.1936	6.18	50500	0.5169	2.2235	34.6028	32.5744
0.196	6.24	51000	0.5162	2.2306	34.6904	32.4517
0.1949	6.3	51500	0.5129	2.3903	35.1637	33.2113
0.194	6.36	52000	0.5134	2.1318	34.7602	33.5885
0.1941	6.43	52500	0.5152	2.3425	34.4858	32.9135
0.1935	6.49	53000	0.5145	2.6653	35.0061	32.8984
0.191	6.55	53500	0.5134	2.2906	34.8134	33.5412
0.1971	6.61	54000	0.5188	2.1944	34.8164	33.1378
0.1951	6.67	54500	0.5130	2.4214	34.5857	32.8249
0.1921	6.73	55000	0.5137	2.2722	34.8066	32.6298
0.1928	6.79	55500	0.5136	2.316	34.7798	34.0654
0.1945	6.85	56000	0.5114	2.1866	34.8094	32.6922
0.1936	6.92	56500	0.5133	2.3216	34.6351	33.0805
0.1957	6.98	57000	0.5123	2.2095	34.9906	33.8893
0.1888	7.04	57500	0.5172	2.2208	34.772	33.334
0.1842	7.1	58000	0.5167	1.9387	34.6291	32.6278
0.1866	7.16	58500	0.5154	2.1733	35.019	32.8179
0.1869	7.22	59000	0.5187	2.0185	34.7933	33.4386
0.1851	7.28	59500	0.5158	2.2565	34.9985	33.3934
0.1846	7.34	60000	0.5182	2.087	35.3032	33.6207
0.1844	7.41	60500	0.5163	2.2813	34.9024	33.1127
0.1888	7.47	61000	0.5140	2.3832	35.0925	33.4527
0.1883	7.53	61500	0.5140	2.4389	35.3911	33.0121
0.1866	7.59	62000	0.5186	2.1768	35.0476	33.331
0.1854	7.65	62500	0.5182	2.1011	34.9619	33.7274
0.1895	7.71	63000	0.5166	2.2003	35.1485	33.2384
0.1907	7.77	63500	0.5167	2.1704	34.7886	33.1499
0.1868	7.83	64000	0.5177	2.4642	35.3304	33.494
0.1845	7.89	64500	0.5185	1.8674	35.2574	33.5372
0.1853	7.96	65000	0.5139	2.2624	35.2208	33.5604
0.1843	8.02	65500	0.5198	2.3718	35.0122	33.2485
0.1792	8.08	66000	0.5195	2.2219	34.6203	33.008
0.1813	8.14	66500	0.5213	2.2907	34.9642	33.4889
0.1783	8.2	67000	0.5181	2.4924	35.0622	32.996
0.1793	8.26	67500	0.5177	2.521	35.1152	33.3652
0.1815	8.32	68000	0.5197	2.186	34.9455	32.8964
0.1807	8.38	68500	0.5203	2.0672	34.8115	32.9658
0.1793	8.45	69000	0.5209	1.8363	35.0798	33.0674
0.1799	8.51	69500	0.5196	2.3825	35.3234	33.9738
0.179	8.57	70000	0.5219	2.275	34.7929	32.8239
0.1783	8.63	70500	0.5197	2.3194	35.0171	33.6288
0.1813	8.69	71000	0.5171	2.2258	35.1631	33.3873
0.1809	8.75	71500	0.5190	2.5308	35.1173	33.34
0.1805	8.81	72000	0.5171	1.9332	35.0571	32.9678
0.1786	8.87	72500	0.5157	2.2382	35.0783	32.9406
0.1811	8.94	73000	0.5201	2.2583	35.0626	33.4859
0.1804	9.0	73500	0.5177	2.278	34.693	33.1942
0.1745	9.06	74000	0.5210	2.2431	35.1854	33.6841
0.1731	9.12	74500	0.5219	2.3838	35.0609	33.7626
0.1745	9.18	75000	0.5205	2.3049	35.049	33.2394
0.1733	9.24	75500	0.5239	2.5352	35.2192	33.8048
0.1749	9.3	76000	0.5216	2.3165	34.7239	33.1087
0.1726	9.36	76500	0.5214	2.4599	34.9216	33.4487
0.175	9.42	77000	0.5245	2.5992	35.0381	33.1167
0.1753	9.49	77500	0.5248	2.2165	34.9097	33.1529
0.1751	9.55	78000	0.5208	2.7439	35.1761	33.2123
0.1751	9.61	78500	0.5207	2.5099	35.1488	32.8642
0.1729	9.67	79000	0.5239	2.534	35.0639	33.3682
0.1763	9.73	79500	0.5228	2.3696	34.5217	32.669
0.1719	9.79	80000	0.5241	2.4858	34.8637	33.2716
0.1753	9.85	80500	0.5204	2.3656	34.9314	32.7535
0.177	9.91	81000	0.5197	2.2903	35.0575	33.0634
0.1752	9.98	81500	0.5238	2.1415	34.9044	33.0392
0.1695	10.04	82000	0.5237	2.1674	34.9343	33.0926
0.1696	10.1	82500	0.5254	2.5423	34.91	33.0322
0.1667	10.16	83000	0.5278	1.9003	34.8527	32.7414
0.1701	10.22	83500	0.5283	2.4784	34.913	32.832
0.1689	10.28	84000	0.5232	2.492	35.2142	33.2374
0.1706	10.34	84500	0.5262	2.5049	35.2206	33.2817
0.1698	10.4	85000	0.5239	2.3618	34.9215	32.8119
0.1717	10.47	85500	0.5265	2.4575	34.9778	32.6026
0.1678	10.53	86000	0.5249	2.3199	34.8019	33.3028
0.1703	10.59	86500	0.5219	2.4114	34.9716	33.3089
0.1708	10.65	87000	0.5239	2.0047	34.8404	32.7777
0.1704	10.71	87500	0.5253	2.5167	35.2791	33.4588
0.1692	10.77	88000	0.5242	2.5192	35.1455	33.006
0.172	10.83	88500	0.5218	2.2699	35.1763	33.326
0.1712	10.89	89000	0.5246	2.332	35.2355	33.1247
0.1669	10.95	89500	0.5227	2.2954	35.279	33.2746
0.1663	11.02	90000	0.5250	2.4965	35.2613	33.3421
0.1653	11.08	90500	0.5278	2.324	35.1194	33.328
0.1656	11.14	91000	0.5257	2.2204	35.0059	33.1922
0.1643	11.2	91500	0.5261	2.2693	34.9625	33.2324
0.1654	11.26	92000	0.5271	2.5063	35.3606	33.4738
0.1634	11.32	92500	0.5255	2.303	35.0965	33.4688
0.1653	11.38	93000	0.5259	2.4993	34.8866	33.164
0.1662	11.44	93500	0.5257	2.0667	35.0151	33.505
0.1632	11.51	94000	0.5254	2.5568	35.0299	33.3883
0.1652	11.57	94500	0.5278	2.5814	34.992	32.5664
0.1639	11.63	95000	0.5304	2.41	34.9007	33.161
0.1622	11.69	95500	0.5247	2.4703	34.993	32.9457
0.1673	11.75	96000	0.5268	2.3927	35.0372	33.2938
0.1677	11.81	96500	0.5281	2.6505	34.8506	32.494
0.165	11.87	97000	0.5303	2.4796	35.0554	33.2183
0.1662	11.93	97500	0.5254	2.5202	35.1451	33.5986
0.1658	12.0	98000	0.5277	2.2551	35.2497	33.4869
0.1603	12.06	98500	0.5288	2.5281	35.103	33.338
0.1614	12.12	99000	0.5304	2.3583	35.3678	33.008
0.1585	12.18	99500	0.5289	2.1341	34.9736	33.2284
0.1616	12.24	100000	0.5299	2.2275	35.3401	33.5322
0.1592	12.3	100500	0.5268	2.1927	35.1932	33.5322
0.1606	12.36	101000	0.5315	2.2762	34.8855	33.2002
0.1617	12.42	101500	0.5304	1.919	35.2037	33.4688
0.1617	12.48	102000	0.5276	2.3777	35.0109	33.0724
0.1618	12.55	102500	0.5320	2.4878	35.1188	33.0674
0.163	12.61	103000	0.5296	2.6783	35.09	33.3632
0.1601	12.67	103500	0.5295	2.5972	34.8251	32.7837
0.1625	12.73	104000	0.5308	2.5953	34.816	33.2223
0.1628	12.79	104500	0.5291	2.6627	34.9021	33.1046
0.1594	12.85	105000	0.5320	2.185	35.2024	33.499
0.1641	12.91	105500	0.5282	2.2681	35.1077	33.2918
0.1632	12.97	106000	0.5267	2.6085	34.9718	33.0453
0.1592	13.04	106500	0.5314	2.6758	34.8983	33.1539
0.1593	13.1	107000	0.5336	2.431	34.8698	33.0624
0.1567	13.16	107500	0.5336	2.4034	34.7205	32.9245
0.1613	13.22	108000	0.5319	2.4685	35.1304	33.0493
0.1572	13.28	108500	0.5319	2.701	34.8217	33.0201
0.1586	13.34	109000	0.5324	2.6884	34.9147	32.8109
0.1565	13.4	109500	0.5327	1.9804	35.0132	33.2978
0.1578	13.46	110000	0.5310	2.4774	35.0983	33.4085
0.1593	13.53	110500	0.5310	2.5479	35.4449	33.7062
0.1559	13.59	111000	0.5338	2.3537	34.9088	33.0433
0.1592	13.65	111500	0.5321	2.2951	34.9337	32.7264
0.1599	13.71	112000	0.5323	2.1814	35.0657	33.4316
0.1549	13.77	112500	0.5343	2.4706	35.0882	33.4628
0.1583	13.83	113000	0.5296	2.5468	35.0331	32.9386
0.1579	13.89	113500	0.5303	2.6679	35.309	32.996
0.1582	13.95	114000	0.5323	2.4064	35.1723	33.2555
0.1563	14.01	114500	0.5348	2.4503	35.111	33.4195
0.1517	14.08	115000	0.5355	2.5443	35.3299	33.5372
0.1537	14.14	115500	0.5350	2.354	34.975	33.3089
0.1549	14.2	116000	0.5354	2.6566	34.9697	33.3561
0.154	14.26	116500	0.5342	2.5811	34.9067	33.338
0.1562	14.32	117000	0.5334	2.8386	35.1147	33.0634
0.1555	14.38	117500	0.5356	2.621	35.235	33.332
0.1551	14.44	118000	0.5345	2.6434	34.9156	32.9759
0.1553	14.5	118500	0.5343	2.8222	35.0846	33.336
0.1548	14.57	119000	0.5341	2.5853	34.8771	32.9306
0.1545	14.63	119500	0.5334	2.608	35.1324	33.1569
0.1565	14.69	120000	0.5333	2.3449	35.2465	33.3008
0.1578	14.75	120500	0.5334	2.4331	35.0261	33.1268
0.1565	14.81	121000	0.5338	2.5126	35.1174	33.0855
0.1576	14.87	121500	0.5319	2.643	35.2291	33.3461
0.1535	14.93	122000	0.5318	2.6643	35.0675	33.0835
0.1544	14.99	122500	0.5328	2.7986	35.221	33.4517
0.1527	15.06	123000	0.5364	2.433	35.3005	33.6217
0.1531	15.12	123500	0.5367	2.4569	35.1446	33.2706
0.1512	15.18	124000	0.5369	2.5325	34.9011	32.994
0.1511	15.24	124500	0.5378	2.4247	35.0081	32.9517
0.1494	15.3	125000	0.5354	2.6675	35.2802	33.3451
0.1513	15.36	125500	0.5380	2.706	35.3454	32.9779
0.1556	15.42	126000	0.5349	2.6606	35.2983	33.2384
0.152	15.48	126500	0.5374	2.7716	35.1135	33.1429
0.1539	15.54	127000	0.5357	2.4622	35.1187	33.0302
0.1522	15.61	127500	0.5376	2.7958	35.2546	33.1489
0.155	15.67	128000	0.5366	2.4966	34.9292	32.7143
0.1523	15.73	128500	0.5347	2.5537	34.9162	33.1046
0.1554	15.79	129000	0.5349	2.7393	35.1069	33.2082
0.1527	15.85	129500	0.5361	2.3551	35.2359	33.3893
0.1532	15.91	130000	0.5373	2.3327	35.0024	33.0141
0.1505	15.97	130500	0.5386	2.4325	34.8422	32.827
0.1519	16.03	131000	0.5370	2.7083	35.196	33.0744
0.1492	16.1	131500	0.5382	2.4176	35.2017	33.1509
0.1502	16.16	132000	0.5382	1.9908	34.9532	33.1026
0.1505	16.22	132500	0.5378	2.3938	34.8257	33.1398
0.1497	16.28	133000	0.5394	2.5119	35.1199	33.3139
0.15	16.34	133500	0.5381	2.5172	35.0647	32.9718
0.1501	16.4	134000	0.5387	2.6483	35.1301	33.3139
0.1496	16.46	134500	0.5387	2.3792	35.0936	33.1358
0.1507	16.52	135000	0.5383	2.2621	35.3078	33.3763
0.1493	16.59	135500	0.5389	2.744	35.3558	33.2525
0.1494	16.65	136000	0.5386	2.3218	35.0754	33.2425
0.1516	16.71	136500	0.5395	2.3908	34.9863	33.0302
0.1491	16.77	137000	0.5397	2.4509	35.0017	33.4044
0.1512	16.83	137500	0.5395	2.5314	35.0975	33.2042
0.1509	16.89	138000	0.5389	2.4688	34.8711	33.0493
0.1517	16.95	138500	0.5388	2.3796	35.1383	33.1982
0.1516	17.01	139000	0.5396	2.5719	34.9446	33.4195
0.1467	17.07	139500	0.5406	2.76	34.9953	33.2525
0.1498	17.14	140000	0.5410	2.4061	35.1196	33.0946
0.1491	17.2	140500	0.5396	2.6469	35.2868	33.5473
0.1492	17.26	141000	0.5411	2.5395	35.1808	33.4225
0.1506	17.32	141500	0.5405	2.5481	35.1489	33.5111
0.1461	17.38	142000	0.5417	2.3111	35.0102	33.1278
0.1505	17.44	142500	0.5401	2.4497	35.0826	33.4175
0.1477	17.5	143000	0.5389	2.5452	34.9631	33.3109
0.1476	17.56	143500	0.5418	2.7374	34.8662	32.9044
0.1489	17.63	144000	0.5403	2.5838	35.0227	33.0513
0.1499	17.69	144500	0.5397	2.4883	35.3753	33.3028
0.1459	17.75	145000	0.5393	2.3722	35.0427	33.1268
0.1473	17.81	145500	0.5401	2.6967	34.9388	33.3672
0.1484	17.87	146000	0.5406	2.5086	34.9813	33.0734
0.1489	17.93	146500	0.5403	2.7184	35.1614	33.1137
0.1488	17.99	147000	0.5413	2.7788	35.2434	33.5201
0.1462	18.05	147500	0.5415	2.7858	35.1306	33.3521
0.148	18.12	148000	0.5406	2.7313	34.9823	32.9588
0.1459	18.18	148500	0.5414	2.4159	35.047	33.2455
0.1492	18.24	149000	0.5412	2.4617	35.0451	33.2213
0.1466	18.3	149500	0.5411	2.3902	35.0494	33.1901
0.1475	18.36	150000	0.5406	2.6175	35.0336	32.9909
0.1453	18.42	150500	0.5407	2.4948	35.0448	32.9366
0.1443	18.48	151000	0.5403	2.6749	35.1871	33.1861
0.1473	18.54	151500	0.5401	2.5487	35.2026	33.0604
0.1456	18.6	152000	0.5398	2.5826	35.0012	32.9879
0.1467	18.67	152500	0.5398	2.4385	35.0235	33.0201
0.1483	18.73	153000	0.5410	2.5969	34.9183	33.0543
0.1484	18.79	153500	0.5414	2.707	35.163	33.2093
0.1486	18.85	154000	0.5400	2.4765	35.0631	33.0573
0.1477	18.91	154500	0.5403	2.5421	35.1549	32.9346
0.148	18.97	155000	0.5414	2.4963	34.9687	33.1298
0.1457	19.03	155500	0.5418	2.5232	34.9675	32.9577
0.1464	19.09	156000	0.5416	2.4857	35.1609	33.2978
0.1462	19.16	156500	0.5414	2.6489	35.1326	33.2233
0.1443	19.22	157000	0.5421	2.6008	35.218	33.2555
0.1447	19.28	157500	0.5415	2.4443	34.9947	33.1328
0.146	19.34	158000	0.5415	2.6343	35.1218	33.159
0.146	19.4	158500	0.5419	2.6944	35.2223	33.3722
0.1458	19.46	159000	0.5419	2.4237	35.1222	33.2646
0.1459	19.52	159500	0.5422	2.6489	35.0196	33.1811
0.1481	19.58	160000	0.5423	2.5228	35.1774	33.3209
0.145	19.65	160500	0.5419	2.6893	35.2431	33.1841
0.1463	19.71	161000	0.5415	2.5176	35.1588	33.2847
0.1465	19.77	161500	0.5413	2.6651	35.295	33.2686
0.1463	19.83	162000	0.5413	2.472	35.3013	33.2968
0.1455	19.89	162500	0.5415	2.4636	35.2344	33.2455
0.1473	19.95	163000	0.5414	2.4777	35.3072	33.2767

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu117
Datasets 2.11.0
Tokenizers 0.13.3

americasnlp-lct-ehu/es_fi_orig

es_fi_orig_quy

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

americasnlp-lct-ehu/
es_fi_orig