README.md

metadata

library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k
    results: []

pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k

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: 18.4580
• Validation Loss: 9.0813
• Train Bleu: 0.0013
• Train Gen Len: 3.0
• Epoch: 0

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: float32

Training results

Train Loss	Validation Loss	Train Bleu	Train Gen Len	Epoch
18.4580	9.0813	0.0013	3.0	0

Framework versions

• Transformers 4.44.2
• TensorFlow 2.17.0
• Datasets 3.0.0
• Tokenizers 0.19.1