<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
coqui
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.3637
- eval_bleu: 1.0
- eval_precisions: [1.0, 1.0, 1.0, 1.0]
- eval_brevity_penalty: 1.0
- eval_length_ratio: 1.0
- eval_translation_length: 3779
- eval_reference_length: 3779
- eval_runtime: 35.8058
- eval_samples_per_second: 5.586
- eval_steps_per_second: 0.475
- step: 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:
- learning_rate: 5e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1