|
--- |
|
license: apache-2.0 |
|
base_model: google/mt5-small |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mt5-small-finetuned-amazon-en-es |
|
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. --> |
|
|
|
# mt5-small-finetuned-amazon-en-es |
|
|
|
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/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 |
|
|
