license: apache-2.0 | |
base_model: ai-forever/FRED-T5-1.7B | |
tags: | |
- generated_from_keras_callback | |
model-index: | |
- name: t5-jumoreski | |
results: [] | |
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# t5-jumoreski | |
This model is a fine-tuned version of [ai-forever/FRED-T5-1.7B](https://huggingface.co/ai-forever/FRED-T5-1.7B) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Train Loss: 0.3638 | |
- Epoch: 4 | |
## 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': 'Adam', 'weight_decay': 0.01, 'clipnorm': 1, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 5345, 'alpha': 5e-09, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} | |
- training_precision: mixed_bfloat16 | |
### Training results | |
| Train Loss | Epoch | | |
|:----------:|:-----:| | |
| 0.3673 | 0 | | |
| 0.3652 | 1 | | |
| 0.3645 | 2 | | |
| 0.3645 | 3 | | |
| 0.3638 | 4 | | |
### Framework versions | |
- Transformers 4.33.3 | |
- TensorFlow 2.12.0 | |
- Datasets 2.14.5 | |
- Tokenizers 0.13.3 | |