results
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.0001
- eval_model_preparation_time: 0.0049
- eval_rouge1: 99.9541
- eval_rouge2: 87.8299
- eval_rougeL: 99.9541
- eval_rougeLsum: 99.9541
- eval_runtime: 2.9907
- eval_samples_per_second: 22.068
- eval_steps_per_second: 3.009
- step: 0
Model description
We have fine tuned google/mt5-small model on xonic48 amazon review data
Intended uses & limitations
More information needed
Training and evaluation data
We reduced the dataset to 20%, and selected data in english language, and then filtered it for book reviews.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google/mt5-small