---
tags:
- generated_from_trainer
model-index:
- name: multi_cased_L-24_H-128_B-512_A-4_F-4_OPT-finetuned-squad
  results: []
---

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# multi_cased_L-24_H-128_B-512_A-4_F-4_OPT-finetuned-squad

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2855

## 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: 3e-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: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.3992        | 1.0   | 6264  | 2.9190          |
| 3.4521        | 2.0   | 12528 | 2.7861          |
| 3.2602        | 3.0   | 18792 | 2.5381          |
| 3.0534        | 4.0   | 25056 | 2.3501          |
| 2.9689        | 5.0   | 31320 | 2.2855          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.1
- Datasets 2.14.5
- Tokenizers 0.13.3