---
license: mit
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Greg-Sentiment-classifier
  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. -->

# Greg-Sentiment-classifier

This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co./microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0165
- F1: 0.3222

## 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: 0.004
- 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: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0386        | 1.0   | 499  | 1.0199          | 0.2347 |
| 1.0437        | 2.0   | 998  | 1.0226          | 0.2347 |
| 1.066         | 3.0   | 1497 | 1.0207          | 0.2347 |
| 1.0183        | 4.0   | 1996 | 1.0173          | 0.3222 |
| 0.9965        | 5.0   | 2495 | 1.0194          | 0.2347 |
| 0.9548        | 6.0   | 2994 | 1.0165          | 0.3222 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3