mt5-small-finetuned-amazon-en-es
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 5.1487
- eval_rouge1: 1.5273
- eval_rouge2: 0.3056
- eval_rougeL: 1.4358
- eval_rougeLsum: 1.466
- eval_runtime: 67.6587
- eval_samples_per_second: 3.518
- eval_steps_per_second: 0.443
- epoch: 0.08
- step: 97
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.32.0
- Pytorch 2.1.0.dev20230829
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google/mt5-small