---
license: apache-2.0
base_model: ai-forever/FRED-T5-1.7B
tags:
- generated_from_keras_callback
model-index:
- name: t5-jumoreski
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# 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