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---
license: apache-2.0
tags:
- generated_from_keras_callback
base_model: google/mt5-base
model-index:
- name: bic-fil-mt5b
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. -->
# bic-fil-mt5b
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.1547
- Validation Loss: 3.2839
- Epoch: 9
## 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': 0.001, '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 | Epoch |
|:----------:|:---------------:|:-----:|
| 5.7124 | 5.7410 | 0 |
| 5.7929 | 4.9729 | 1 |
| 4.6720 | 4.1064 | 2 |
| 3.9562 | 4.7952 | 3 |
| 3.8185 | 3.9021 | 4 |
| 3.4661 | 3.3586 | 5 |
| 4.3427 | 4.6133 | 6 |
| 4.2101 | 3.5921 | 7 |
| 3.4692 | 3.3715 | 8 |
| 3.1547 | 3.2839 | 9 |
### Framework versions
- Transformers 4.37.2
- TensorFlow 2.15.0
- Datasets 2.17.0
- Tokenizers 0.15.2
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