---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased-distilled-squad
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-distilled-squad_07112024T113312
  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. -->

# distilbert-base-uncased-distilled-squad_07112024T113312

This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8186
- F1: 0.7804
- Learning Rate: 0.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| No log        | 1.0   | 121  | 1.1959          | 0.5325 | 0.0000 |
| No log        | 2.0   | 242  | 1.0212          | 0.6350 | 0.0000 |
| No log        | 3.0   | 363  | 0.9424          | 0.6796 | 0.0000 |
| No log        | 4.0   | 484  | 0.8570          | 0.7203 | 0.0000 |
| 1.0311        | 5.0   | 605  | 0.8567          | 0.7359 | 0.0000 |
| 1.0311        | 6.0   | 726  | 0.8271          | 0.7530 | 0.0000 |
| 1.0311        | 7.0   | 847  | 0.8387          | 0.7629 | 0.0000 |
| 1.0311        | 8.0   | 968  | 0.8491          | 0.7690 | 0.0000 |
| 0.4626        | 9.0   | 1089 | 0.7954          | 0.7809 | 2e-06  |
| 0.4626        | 10.0  | 1210 | 0.8186          | 0.7804 | 0.0    |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.19.1