---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_topical_chat_sentiment
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# amazon_topical_chat_sentiment

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: 1.1237
- Accuracy: 0.5687

## 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-06
- 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: 14

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 1.199         | 1.0   | 9419   | 1.1807          | 0.5348   |
| 1.1383        | 2.0   | 18838  | 1.1487          | 0.5457   |
| 1.1036        | 3.0   | 28257  | 1.1368          | 0.5558   |
| 1.0971        | 4.0   | 37676  | 1.1226          | 0.5605   |
| 1.0679        | 5.0   | 47095  | 1.1223          | 0.5634   |
| 1.0528        | 6.0   | 56514  | 1.1156          | 0.5696   |
| 1.0245        | 7.0   | 65933  | 1.1158          | 0.5683   |
| 1.0279        | 8.0   | 75352  | 1.1140          | 0.5687   |
| 1.0152        | 9.0   | 84771  | 1.1127          | 0.5690   |
| 0.9794        | 10.0  | 94190  | 1.1179          | 0.5687   |
| 0.9717        | 11.0  | 103609 | 1.1200          | 0.5700   |
| 0.9654        | 12.0  | 113028 | 1.1223          | 0.5692   |
| 0.9703        | 13.0  | 122447 | 1.1232          | 0.5700   |
| 0.9545        | 14.0  | 131866 | 1.1237          | 0.5687   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0