metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-finetuned-mt5-base-poem4Final
results: []
mt5-base-finetuned-mt5-base-poem4Final
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 121 | nan |
| No log | 2.0 | 242 | nan |
| No log | 3.0 | 363 | nan |
| No log | 4.0 | 484 | nan |
| 0.0 | 5.0 | 605 | nan |
| 0.0 | 6.0 | 726 | nan |
| 0.0 | 7.0 | 847 | nan |
| 0.0 | 8.0 | 968 | nan |
| 0.0 | 9.0 | 1089 | nan |
| 0.0 | 10.0 | 1210 | nan |
| 0.0 | 11.0 | 1331 | nan |
| 0.0 | 12.0 | 1452 | nan |
| 0.0 | 13.0 | 1573 | nan |
| 0.0 | 14.0 | 1694 | nan |
| 0.0 | 15.0 | 1815 | nan |
| 0.0 | 16.0 | 1936 | nan |
| 0.0 | 17.0 | 2057 | nan |
| 0.0 | 18.0 | 2178 | nan |
| 0.0 | 19.0 | 2299 | nan |
| 0.0 | 20.0 | 2420 | nan |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1