M2M100-ja-zh / README.md
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---
tags:
- generated_from_trainer
model-index:
- name: M100M-zh-ja
results: []
---
<!-- 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. -->
# M100M-zh-ja
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8243
- eval_bleu: 25.4595
- eval_gen_len: 19.6603
- eval_runtime: 189.5332
- eval_samples_per_second: 6.073
- eval_steps_per_second: 0.675
- epoch: 1.44
- step: 3500
## 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: 2e-05
- train_batch_size: 9
- eval_batch_size: 9
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3