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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: tw-sentiment-finetuned
results: []
metrics:
- accuracy
---
<!-- 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. -->
# tw-sentiment-finetuned
This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2039
- Train Accuracy: 0.9171
- Validation Loss: 0.4805
- Validation Accuracy: 0.8237
- Epoch: 2
## 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': 5e-05, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
| 0.4620 | 0.7977 | 0.3893 | 0.8332 | 0 |
| 0.3238 | 0.8596 | 0.4674 | 0.8362 | 1 |
| 0.2039 | 0.9171 | 0.4805 | 0.8237 | 2 |
### Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Tokenizers 0.13.2 |