---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: hos_sentiment_bert
  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. -->

# hos_sentiment_bert

This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2168
- F1: 0.9326

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| No log        | 1.0   | 331   | 0.2183          | 0.9258 |
| 0.239         | 2.0   | 662   | 0.2168          | 0.9326 |
| 0.239         | 3.0   | 993   | 0.2527          | 0.9282 |
| 0.1255        | 4.0   | 1324  | 0.2896          | 0.9288 |
| 0.0662        | 5.0   | 1655  | 0.3389          | 0.9266 |
| 0.0662        | 6.0   | 1986  | 0.3793          | 0.9294 |
| 0.0453        | 7.0   | 2317  | 0.4110          | 0.9252 |
| 0.0257        | 8.0   | 2648  | 0.4656          | 0.9205 |
| 0.0257        | 9.0   | 2979  | 0.4953          | 0.9263 |
| 0.0196        | 10.0  | 3310  | 0.5412          | 0.9265 |
| 0.0125        | 11.0  | 3641  | 0.5528          | 0.9245 |
| 0.0125        | 12.0  | 3972  | 0.5527          | 0.9262 |
| 0.0141        | 13.0  | 4303  | 0.5683          | 0.9276 |
| 0.0097        | 14.0  | 4634  | 0.5835          | 0.9239 |
| 0.0097        | 15.0  | 4965  | 0.5905          | 0.9280 |
| 0.0107        | 16.0  | 5296  | 0.5799          | 0.9298 |
| 0.009         | 17.0  | 5627  | 0.6127          | 0.9266 |
| 0.009         | 18.0  | 5958  | 0.5911          | 0.9284 |
| 0.0084        | 19.0  | 6289  | 0.5900          | 0.9303 |
| 0.008         | 20.0  | 6620  | 0.5923          | 0.9283 |
| 0.008         | 21.0  | 6951  | 0.6186          | 0.9305 |
| 0.0068        | 22.0  | 7282  | 0.6076          | 0.9292 |
| 0.0064        | 23.0  | 7613  | 0.5782          | 0.9303 |
| 0.0064        | 24.0  | 7944  | 0.6077          | 0.9320 |
| 0.0048        | 25.0  | 8275  | 0.6446          | 0.9282 |
| 0.0046        | 26.0  | 8606  | 0.6417          | 0.9315 |
| 0.0046        | 27.0  | 8937  | 0.6656          | 0.9283 |
| 0.0053        | 28.0  | 9268  | 0.6541          | 0.9288 |
| 0.0043        | 29.0  | 9599  | 0.6703          | 0.9277 |
| 0.0043        | 30.0  | 9930  | 0.6871          | 0.9252 |
| 0.0041        | 31.0  | 10261 | 0.6735          | 0.9286 |
| 0.0034        | 32.0  | 10592 | 0.6651          | 0.9306 |
| 0.0034        | 33.0  | 10923 | 0.6799          | 0.9305 |
| 0.0032        | 34.0  | 11254 | 0.6753          | 0.9297 |
| 0.0031        | 35.0  | 11585 | 0.6855          | 0.9310 |
| 0.0031        | 36.0  | 11916 | 0.6885          | 0.9306 |
| 0.003         | 37.0  | 12247 | 0.6960          | 0.9293 |
| 0.0026        | 38.0  | 12578 | 0.6950          | 0.9292 |
| 0.0026        | 39.0  | 12909 | 0.6964          | 0.9297 |
| 0.0033        | 40.0  | 13240 | 0.6954          | 0.9290 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0