metadata
base_model: Samuael/geez_t5-15k
tags:
- generated_from_trainer
model-index:
- name: geez_t5-15k
results: []
geez_t5-15k
This model is a fine-tuned version of Samuael/geez_t5-15k on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8705
- eval_wer: 0.2496
- eval_cer: 0.0611
- eval_bleu: 58.7703
- eval_runtime: 36.6498
- eval_samples_per_second: 9.795
- eval_steps_per_second: 0.164
- epoch: 1.0
- step: 1421
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2