---
license: apache-2.0
base_model: bert-large-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-large-22
  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. -->

# bert-large-22

This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9292

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0375        | 0.09  | 5    | 6.0219          |
| 6.0415        | 0.18  | 10   | 6.0159          |
| 6.0408        | 0.27  | 15   | 6.0100          |
| 5.9961        | 0.36  | 20   | 6.0042          |
| 6.0668        | 0.45  | 25   | 5.9988          |
| 6.0106        | 0.55  | 30   | 5.9936          |
| 6.0434        | 0.64  | 35   | 5.9886          |
| 5.9975        | 0.73  | 40   | 5.9838          |
| 6.025         | 0.82  | 45   | 5.9792          |
| 5.9994        | 0.91  | 50   | 5.9746          |
| 5.9914        | 1.0   | 55   | 5.9704          |
| 5.9746        | 1.09  | 60   | 5.9667          |
| 5.9869        | 1.18  | 65   | 5.9629          |
| 5.9517        | 1.27  | 70   | 5.9593          |
| 5.9952        | 1.36  | 75   | 5.9562          |
| 5.9493        | 1.45  | 80   | 5.9531          |
| 5.9658        | 1.55  | 85   | 5.9503          |
| 5.9816        | 1.64  | 90   | 5.9480          |
| 5.9311        | 1.73  | 95   | 5.9456          |
| 5.9632        | 1.82  | 100  | 5.9433          |
| 5.9399        | 1.91  | 105  | 5.9413          |
| 5.935         | 2.0   | 110  | 5.9393          |
| 5.9181        | 2.09  | 115  | 5.9375          |
| 5.8885        | 2.18  | 120  | 5.9360          |
| 5.9249        | 2.27  | 125  | 5.9344          |
| 5.9314        | 2.36  | 130  | 5.9335          |
| 5.904         | 2.45  | 135  | 5.9321          |
| 5.9061        | 2.55  | 140  | 5.9313          |
| 5.932         | 2.64  | 145  | 5.9306          |
| 5.9327        | 2.73  | 150  | 5.9300          |
| 5.9391        | 2.82  | 155  | 5.9296          |
| 5.9608        | 2.91  | 160  | 5.9293          |
| 5.9388        | 3.0   | 165  | 5.9292          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1