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roberta-medium-amharic-32k-v2 – AI Model by yosefw | AlphaNeural AI

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yosefw/
roberta-medium-amharic-32k-v2

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generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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roberta-medium-amharic-32k-v2

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 7.3050
eval_model_preparation_time: 0.0036
eval_runtime: 12.4759
eval_samples_per_second: 1748.887
eval_steps_per_second: 6.893
epoch: 0.5362
step: 4706

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: 0.0001
train_batch_size: 256
eval_batch_size: 256
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
num_epochs: 32
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1