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trainer_output – AI Model by shirzady1934 | AlphaNeural AI
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trainer_output
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transformers
safetensors
bert
fill-mask
generated_from_trainer
arrow
autotrain_compatible
endpoints_compatible
us
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trainer_output
This model is a fine-tuned version of
on the arrow dataset. It achieves the following results on the evaluation set:
Loss: 2.9122
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: 32
eval_batch_size: 32
seed: 1337
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 8
total_train_batch_size: 1024
total_eval_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10000
training_steps: 13794
Training results
Training Loss
Epoch
Step
Validation Loss
4.4848
0.3625
5000
4.3929
2.9899
0.7249
10000
2.9122
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu126
Datasets 2.21.0
Tokenizers 0.21.1
