transformers tensorboard safetensors bert question-answering generated_from_trainer base_model:Intel/dynamic_tinybert license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: Intel/dynamic_tinybert
tags:
- generated_from_trainer
model-index:
- name: dynamic_tinybert-finetuned-squad
  results: []
---

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# dynamic_tinybert-finetuned-squad

This model is a fine-tuned version of [Intel/dynamic_tinybert](https://huggingface.co/Intel/dynamic_tinybert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4682

## 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: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5086        | 1.0   | 5533  | 1.1495          |
| 0.3869        | 2.0   | 11066 | 1.2774          |
| 0.2659        | 3.0   | 16599 | 1.4682          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
