xlm-roberta-base_lr2e-05_seed42_basic_original_kin-hau-eng_train – AI Model by shanhy | AlphaNeural AI

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shanhy/
xlm-roberta-base_lr2e-05_seed42_basic_original_kin-hau-eng_train

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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xlm-roberta-base_lr2e-05_seed42_basic_original_kin-hau-eng_train

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: 0.0348
Spearman Corr: 0.7245

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	0.0325	0.6966
0.0428	3.19	400	0.0319	0.7262
0.0237	4.78	600	0.0334	0.7202
0.0178	6.37	800	0.0315	0.7350
0.0138	7.97	1000	0.0339	0.7365
0.0138	9.56	1200	0.0325	0.7316
0.0107	11.16	1400	0.0354	0.7334
0.0089	12.75	1600	0.0345	0.7268
0.0075	14.34	1800	0.0346	0.7321
0.0063	15.94	2000	0.0360	0.7278
0.0063	17.53	2200	0.0384	0.7253
0.0057	19.12	2400	0.0320	0.7226
0.005	20.72	2600	0.0337	0.7213
0.0047	22.31	2800	0.0348	0.7245

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2