transformers pytorch distilbert fill-mask generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-issues-128
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-issues-128

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: 1.2728

## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2526        | 1.0   | 292  | 1.8647          |
| 1.7421        | 2.0   | 584  | 1.6379          |
| 1.5862        | 3.0   | 876  | 1.5838          |
| 1.5041        | 4.0   | 1168 | 1.5427          |
| 1.4371        | 5.0   | 1460 | 1.4806          |
| 1.3826        | 6.0   | 1752 | 1.3648          |
| 1.3487        | 7.0   | 2044 | 1.4458          |
| 1.3292        | 8.0   | 2336 | 1.3345          |
| 1.2779        | 9.0   | 2628 | 1.3367          |
| 1.2599        | 10.0  | 2920 | 1.3373          |
| 1.2454        | 11.0  | 3212 | 1.3694          |
| 1.2239        | 12.0  | 3504 | 1.2550          |
| 1.2057        | 13.0  | 3796 | 1.3154          |
| 1.1792        | 14.0  | 4088 | 1.2952          |
| 1.1838        | 15.0  | 4380 | 1.3406          |
| 1.1739        | 16.0  | 4672 | 1.2728          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1
