metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k
results: []
pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.4260
- Validation Loss: 4.1643
- Train Bleu: 0.0
- Train Gen Len: 127.0
- Epoch: 29
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|---|---|---|---|---|
| 18.4580 | 9.0813 | 0.0013 | 3.0 | 0 |
| 10.6168 | 8.0760 | 0.0008 | 50.0 | 1 |
| 8.9972 | 7.4303 | 0.0003 | 127.0 | 2 |
| 8.2615 | 7.1119 | 0.0010 | 3.0 | 3 |
| 7.8727 | 6.9450 | 0.0 | 2.0 | 4 |
| 7.6314 | 6.8080 | 0.0 | 2.0 | 5 |
| 7.4404 | 6.6029 | 0.0 | 2.0 | 6 |
| 7.2126 | 6.2358 | 0.0003 | 127.0 | 7 |
| 6.9077 | 5.6784 | 0.0003 | 127.0 | 8 |
| 6.5300 | 5.3165 | 0.0003 | 127.0 | 9 |
| 6.2332 | 5.0961 | 0.0003 | 127.0 | 10 |
| 5.9571 | 4.9619 | 0.0003 | 127.0 | 11 |
| 5.7344 | 4.8588 | 0.0 | 7.0 | 12 |
| 5.5347 | 4.7700 | 0.0 | 127.0 | 13 |
| 5.4059 | 4.7055 | 0.0005 | 127.0 | 14 |
| 5.2839 | 4.6485 | 0.0004 | 127.0 | 15 |
| 5.1769 | 4.5958 | 0.0 | 127.0 | 16 |
| 5.0864 | 4.5455 | 0.0 | 127.0 | 17 |
| 5.0025 | 4.5005 | 0.0 | 127.0 | 18 |
| 4.9161 | 4.4589 | 0.6412 | 127.0 | 19 |
| 4.8523 | 4.4206 | 0.8846 | 127.0 | 20 |
| 4.7860 | 4.3832 | 0.0 | 10.0 | 21 |
| 4.7340 | 4.3479 | 0.0 | 10.0 | 22 |
| 4.6707 | 4.3200 | 0.0 | 10.0 | 23 |
| 4.6181 | 4.2951 | 0.0 | 10.0 | 24 |
| 4.5780 | 4.2621 | 0.0 | 14.0 | 25 |
| 4.5309 | 4.2380 | 0.0 | 127.0 | 26 |
| 4.4944 | 4.2097 | 5.1292 | 29.0 | 27 |
| 4.4613 | 4.1865 | 0.0 | 127.0 | 28 |
| 4.4260 | 4.1643 | 0.0 | 127.0 | 29 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.0
- Tokenizers 0.19.1