xlm-roberta-base_original_esp-hau-eng_train_spearman_corr – AI Model by shanhy | AlphaNeural AI

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shanhy/
xlm-roberta-base_original_esp-hau-eng_train_spearman_corr

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base_original_esp-hau-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: 0.0293
Spearman Corr: 0.7485

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	1.45	200	0.0269	0.6960
0.0444	2.91	400	0.0266	0.7221
0.0247	4.36	600	0.0258	0.7535
0.0247	5.82	800	0.0297	0.7543
0.0188	7.27	1000	0.0263	0.7520
0.0144	8.73	1200	0.0283	0.7540
0.0115	10.18	1400	0.0289	0.7519
0.0115	11.64	1600	0.0277	0.7510
0.0091	13.09	1800	0.0258	0.7605
0.0078	14.55	2000	0.0287	0.7540
0.0064	16.0	2200	0.0278	0.7506
0.0064	17.45	2400	0.0309	0.7539
0.0054	18.91	2600	0.0287	0.7469
0.0049	20.36	2800	0.0284	0.7478
0.0049	21.82	3000	0.0286	0.7469
0.0045	23.27	3200	0.0289	0.7439
0.004	24.73	3400	0.0293	0.7485

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2