metadata

license: apache-2.0
base_model: google/muril-base-cased
tags:
  - classification
  - generated_from_trainer
model-index:
  - name: MuRIL_relevance
    results: []

MuRIL_relevance

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

eval_loss: 0.6917
eval_runtime: 160.9578
eval_samples_per_second: 56.22
eval_steps_per_second: 0.882
epoch: 0.98
step: 39

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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 6

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.2