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license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: edgertej/poebert-eras-balanced
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. -->
# edgertej/poebert-eras-balanced
This model is a fine-tuned version of [edgertej/poebert-eras-balanced](https://huggingface.co/edgertej/poebert-eras-balanced) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.5715
- Validation Loss: 3.3710
- Epoch: 6
## 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', 'learning_rate': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 3.8002 | 3.5259 | 0 |
| 3.7486 | 3.4938 | 1 |
| 3.7053 | 3.4520 | 2 |
| 3.7315 | 3.4211 | 3 |
| 3.6226 | 3.4031 | 4 |
| 3.6021 | 3.3968 | 5 |
| 3.5715 | 3.3710 | 6 |
### Framework versions
- Transformers 4.19.2
- TensorFlow 2.11.0
- Datasets 2.4.0
- Tokenizers 0.12.1
|