metadata

license: apache-2.0
base_model: google/t5-v1_1-small
tags:
  - generated_from_keras_callback
model-index:
  - name: dot-ammar/dotless_model-small
    results: []
datasets:
  - dot-ammar/AR-dotless-mediumPlus
language:
  - ar
metrics:
  - accuracy

dot-ammar/dotless_model-small

This model is a fine-tuned version of google/t5-v1_1-small on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.0097
Validation Loss: 1.2814
Epoch: 1

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:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
4.4462	2.1080	0
2.0097	1.2814	1

Framework versions

Transformers 4.33.0
TensorFlow 2.12.0
Datasets 2.1.0
Tokenizers 0.13.3