File size: 2,595 Bytes
c3752f6 0f01126 c3752f6 fc4b654 8dc0b79 0f01126 c3752f6 fc4b654 ba9ee62 fc4b654 ba9ee62 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: Rocketknight1/distilbert-base-uncased-finetuned-squad
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. -->
# Rocketknight1/distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.9581
- Train End Logits Sparse Categorical Accuracy: 0.7344
- Train Start Logits Sparse Categorical Accuracy: 0.6948
- Validation Loss: 1.1235
- Validation End Logits Sparse Categorical Accuracy: 0.7005
- Validation Start Logits Sparse Categorical Accuracy: 0.6644
- Epoch: 1
## 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 11064, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Train End Logits Sparse Categorical Accuracy | Train Start Logits Sparse Categorical Accuracy | Validation Loss | Validation End Logits Sparse Categorical Accuracy | Validation Start Logits Sparse Categorical Accuracy | Epoch |
|:----------:|:--------------------------------------------:|:----------------------------------------------:|:---------------:|:-------------------------------------------------:|:---------------------------------------------------:|:-----:|
| 1.4902 | 0.6126 | 0.5751 | 1.1502 | 0.6844 | 0.6561 | 0 |
| 0.9581 | 0.7344 | 0.6948 | 1.1235 | 0.7005 | 0.6644 | 1 |
### Framework versions
- Transformers 4.19.0.dev0
- TensorFlow 2.8.0-rc0
- Datasets 2.1.1.dev0
- Tokenizers 0.11.0
|