xlm-roberta-base_lr0.001_seed42_amh-esp-eng_train – AI Model by shanhy | AlphaNeural AI

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shanhy/
xlm-roberta-base_lr0.001_seed42_amh-esp-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_lr0.001_seed42_amh-esp-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: 0.0331
Spearman Corr: nan

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: 0.001
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	0.53	200	0.0351	nan
No log	1.06	400	0.0333	nan
No log	1.59	600	0.0340	nan
0.122	2.12	800	0.0339	nan
0.122	2.65	1000	0.0334	nan
0.122	3.17	1200	0.0339	nan
0.122	3.7	1400	0.0343	nan
0.0494	4.23	1600	0.0331	nan
0.0494	4.76	1800	0.0332	nan
0.0494	5.29	2000	0.0337	-0.0209
0.0494	5.82	2200	0.0331	nan
0.049	6.35	2400	0.0335	nan
0.049	6.88	2600	0.0332	nan
0.049	7.41	2800	0.0348	nan
0.049	7.94	3000	0.0331	nan
0.049	8.47	3200	0.0337	nan
0.049	8.99	3400	0.0337	nan
0.049	9.52	3600	0.0331	nan

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2