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xlmr-41k – AI Model by monster-next-hf | AlphaNeural AI
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monster-next-hf
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xlmr-41k
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transformers
pytorch
xlm-roberta
token-classification
generated_from_trainer
other
autotrain_compatible
endpoints_compatible
us
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Model card
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sagemaker-xlmr-41k
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0729
F1: 0.8320
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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.127
1.0
46170
0.0926
0.7736
0.084
2.0
92340
0.0772
0.8148
0.0648
3.0
138510
0.0729
0.8320
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2
