xlm-roberta-base_latin_original_amh-esp-eng_train_spearman_corr – AI Model by shanhy | AlphaNeural AI

You can deploy this model and start earning money today!

shanhy/
xlm-roberta-base_latin_original_amh-esp-eng_train_spearman_corr

like

0

text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

xlm-roberta-base_latin_original_amh-esp-eng_train_spearman_corr

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0233
Spearman Corr: 0.7706

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: 32
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Spearman Corr
No log	1.59	200	0.0202	0.7613
0.0371	3.17	400	0.0169	0.7592
0.0203	4.76	600	0.0212	0.7674
0.0151	6.35	800	0.0208	0.7667
0.0151	7.94	1000	0.0226	0.7734
0.0116	9.52	1200	0.0230	0.7745
0.0092	11.11	1400	0.0236	0.7687
0.0077	12.7	1600	0.0206	0.7650
0.0061	14.29	1800	0.0217	0.7693
0.0061	15.87	2000	0.0263	0.7671
0.0053	17.46	2200	0.0239	0.7674
0.0046	19.05	2400	0.0242	0.7598
0.004	20.63	2600	0.0223	0.7751
0.0038	22.22	2800	0.0231	0.7665
0.0038	23.81	3000	0.0245	0.7654
0.0035	25.4	3200	0.0236	0.7731
0.0032	26.98	3400	0.0236	0.7695
0.0031	28.57	3600	0.0233	0.7706

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2