---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: lenate_model_8
  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. -->

# lenate_model_8

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3136
- Accuracy: 0.9375

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 8    | 0.8432          | 0.7188   |
| No log        | 2.0   | 16   | 0.7205          | 0.7188   |
| No log        | 3.0   | 24   | 0.6494          | 0.7188   |
| No log        | 4.0   | 32   | 0.5616          | 0.7188   |
| No log        | 5.0   | 40   | 0.4818          | 0.8438   |
| No log        | 6.0   | 48   | 0.4141          | 0.8438   |
| No log        | 7.0   | 56   | 0.3831          | 0.875    |
| No log        | 8.0   | 64   | 0.3406          | 0.875    |
| No log        | 9.0   | 72   | 0.3200          | 0.9375   |
| No log        | 10.0  | 80   | 0.3136          | 0.9375   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2