---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: delivery-balaned-agent-only-distilbert-base-uncased-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# delivery-balaned-agent-only-distilbert-base-uncased-v3

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7994
- Accuracy: 0.6964

## 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: 45
- eval_batch_size: 45
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 334  | 1.0145          | 0.5616   |
| 0.9016        | 2.0   | 668  | 0.8638          | 0.6541   |
| 0.5615        | 3.0   | 1002 | 0.7400          | 0.7187   |
| 0.5615        | 4.0   | 1336 | 0.8197          | 0.6909   |
| 0.4481        | 5.0   | 1670 | 0.7994          | 0.6964   |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1