metadata

library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: mt5-sinhala-news-finetuned
    results: []

mt5-sinhala-news-finetuned

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 2.3319
Validation Loss: 3.7169
Epoch: 2

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': 'RMSprop', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': 100, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.001, 'rho': 0.9, 'momentum': 0.0, 'epsilon': 1e-07, 'centered': False}
training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
3.7912	4.5842	0
2.3846	3.7379	1
2.3319	3.7169	2

Framework versions

Transformers 4.48.2
TensorFlow 2.18.0
Datasets 3.3.0
Tokenizers 0.21.0