---
tags:
- generated_from_trainer
model-index:
- name: BERT_word2vec
  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_word2vec

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2223

## 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: 0.0001
- train_batch_size: 256
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 2048
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 3.4036        | 1.0   | 43283  | 3.2746          |
| 3.0571        | 2.0   | 86566  | 2.9331          |
| 2.8967        | 3.0   | 129849 | 2.7814          |
| 2.7919        | 4.0   | 173132 | 2.6885          |
| 2.7072        | 5.0   | 216415 | 2.6176          |
| 2.6512        | 6.0   | 259698 | 2.5633          |
| 2.6091        | 7.0   | 302981 | 2.5193          |
| 2.5596        | 8.0   | 346264 | 2.4826          |
| 2.5291        | 9.0   | 389547 | 2.4491          |
| 2.4972        | 10.0  | 432830 | 2.4219          |
| 2.4697        | 11.0  | 476113 | 2.3943          |
| 2.4311        | 12.0  | 519396 | 2.3714          |
| 2.4199        | 13.0  | 562679 | 2.3438          |
| 2.3847        | 14.0  | 605962 | 2.3223          |
| 2.3508        | 15.0  | 649245 | 2.3042          |
| 2.3333        | 16.0  | 692528 | 2.2818          |
| 2.3113        | 17.0  | 735811 | 2.2633          |
| 2.281         | 18.0  | 779094 | 2.2447          |
| 2.2749        | 19.0  | 822377 | 2.2316          |
| 2.2541        | 20.0  | 865660 | 2.2223          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2