metadata
license: apache-2.0
tags:
- generated_from_trainer
base_model: google/mt5-small
model-index:
- name: results_mt5small
results: []
nep-spell-hf
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0114
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0285 | 6.6 | 6000 | 0.0167 |
0.0155 | 13.2 | 12000 | 0.0132 |
0.0124 | 19.8 | 18000 | 0.0118 |
0.0099 | 26.4 | 24000 | 0.0114 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0
- Datasets 2.16.1
- Tokenizers 0.15.0