---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-btc-titles-eng
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-finetuned-btc-titles-eng

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: 0.0041

## 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: 64
- eval_batch_size: 64
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.004         | 1.0   | 2329  | 0.0286          |
| 0.0001        | 2.0   | 4658  | 0.0132          |
| 0.0           | 3.0   | 6987  | 0.0094          |
| 0.0           | 4.0   | 9316  | 0.0083          |
| 0.0002        | 5.0   | 11645 | 0.0047          |
| 0.144         | 6.0   | 13974 | 0.0050          |
| 0.0           | 7.0   | 16303 | 0.0048          |
| 0.0593        | 8.0   | 18632 | 0.0041          |
| 0.0           | 9.0   | 20961 | 0.0034          |
| 0.0           | 10.0  | 23290 | 0.0041          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1