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---
license: mit
tags:
- generated_from_keras_callback
model-index:
- name: jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references
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. -->
# jonaskoenig/xtremedistil-l6-h256-uncased-future-time-references
This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0126
- Train Sparse Categorical Accuracy: 0.9961
- Validation Loss: 0.0148
- Validation Sparse Categorical Accuracy: 0.9955
- Epoch: 3
## 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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
| 0.0541 | 0.9841 | 0.0250 | 0.9929 | 0 |
| 0.0223 | 0.9936 | 0.0186 | 0.9947 | 1 |
| 0.0158 | 0.9953 | 0.0161 | 0.9953 | 2 |
| 0.0126 | 0.9961 | 0.0148 | 0.9955 | 3 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.9.1
- Datasets 2.3.2
- Tokenizers 0.12.1
|