---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Distilbert-sentiment-analysis
  results: []
language:
- en
metrics:
- rouge
pipeline_tag: text-classification
datasets:
- knkarthick/dialogsum
---

<!-- 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-sentiment-analysis

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:
- Loss: 1.2745

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1633        | 1.0   | 1178 | 1.1116          |
| 1.0524        | 2.0   | 2356 | 1.0836          |
| 0.9103        | 3.0   | 3534 | 1.1135          |
| 0.7676        | 4.0   | 4712 | 1.1945          |
| 0.659         | 5.0   | 5890 | 1.2745          |


### Framework versions

- Transformers 4.30.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3