File size: 2,399 Bytes
a09d309 |
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 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: distilbert-base-uncased-date
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-date
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2773
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.9259
## 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:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log | 1.0 | 1 | 0.5215 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 2.0 | 2 | 0.4264 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 3.0 | 3 | 0.3649 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 4.0 | 4 | 0.3289 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 5.0 | 5 | 0.3099 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 6.0 | 6 | 0.2992 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 7.0 | 7 | 0.2920 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 8.0 | 8 | 0.2865 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 9.0 | 9 | 0.2821 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 10.0 | 10 | 0.2790 | 0.0 | 0.0 | 0.0 | 0.9259 |
| No log | 11.0 | 11 | 0.2773 | 0.0 | 0.0 | 0.0 | 0.9259 |
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
|