---
license: apache-2.0
base_model: judy93536/distilroberta-base-reuters-bloomberg
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-reuters-bloomberg-ep30-ep20
  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. -->

# distilroberta-base-reuters-bloomberg-ep30-ep20

This model is a fine-tuned version of [judy93536/distilroberta-base-reuters-bloomberg](https://huggingface.co/judy93536/distilroberta-base-reuters-bloomberg) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2767

## 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: 7.2115e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.12
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.3775        | 1.0   | 13905  | 1.3298          |
| 1.4586        | 2.0   | 27810  | 1.4049          |
| 1.5213        | 3.0   | 41715  | 1.4486          |
| 1.5175        | 4.0   | 55620  | 1.4431          |
| 1.5007        | 5.0   | 69525  | 1.4346          |
| 1.4875        | 6.0   | 83430  | 1.4237          |
| 1.4695        | 7.0   | 97335  | 1.4145          |
| 1.4625        | 8.0   | 111240 | 1.4062          |
| 1.4343        | 9.0   | 125145 | 1.3892          |
| 1.4276        | 10.0  | 139050 | 1.3822          |
| 1.4147        | 11.0  | 152955 | 1.3658          |
| 1.3914        | 12.0  | 166860 | 1.3549          |
| 1.3774        | 13.0  | 180765 | 1.3425          |
| 1.3691        | 14.0  | 194670 | 1.3323          |
| 1.3523        | 15.0  | 208575 | 1.3193          |
| 1.3354        | 16.0  | 222480 | 1.3098          |
| 1.3221        | 17.0  | 236385 | 1.2990          |
| 1.3083        | 18.0  | 250290 | 1.2885          |
| 1.3052        | 19.0  | 264195 | 1.2830          |
| 1.2818        | 20.0  | 278100 | 1.2793          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1