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shanhy/xlm-roberta-base_seed42_amh-hau-eng_train

sourceHugging Facemitupdated 3y agoView on Hugging Face

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xlm-roberta-baseseed42amh-hau-eng_train

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 0.0233
—Spearman Corr: 0.7915

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
—trainbatchsize: 32
—evalbatchsize: 128
—seed: 42
—gradientaccumulationsteps: 2
—totaltrainbatch_size: 64
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—num_epochs: 30
—mixedprecisiontraining: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman Corr
No log	0.58	200	0.0265	0.7094
No log	1.15	400	0.0234	0.7443
No log	1.73	600	0.0226	0.7564
0.0414	2.3	800	0.0235	0.7743
0.0414	2.88	1000	0.0241	0.7786
0.0414	3.45	1200	0.0261	0.7746
0.0231	4.03	1400	0.0276	0.7886
0.0231	4.6	1600	0.0223	0.7825
0.0231	5.18	1800	0.0216	0.7825
0.0231	5.76	2000	0.0231	0.7854
0.0165	6.33	2200	0.0204	0.7934
0.0165	6.91	2400	0.0227	0.7886
0.0165	7.48	2600	0.0220	0.7873
0.0121	8.06	2800	0.0220	0.7827
0.0121	8.63	3000	0.0222	0.7909
0.0121	9.21	3200	0.0218	0.7933
0.0121	9.78	3400	0.0233	0.7932
0.0092	10.36	3600	0.0224	0.7931
0.0092	10.94	3800	0.0233	0.7915

Framework versions

—Transformers 4.37.2
—Pytorch 2.1.0+cu121
—Datasets 2.16.1
—Tokenizers 0.15.1