---
license: mit
base_model: microsoft/MiniLM-L12-H384-uncased
tags:
- generated_from_trainer
model-index:
- name: sentiment-guesser
  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. -->

# sentiment-guesser

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: 0.3734

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2921        | 1.0   | 3125  | 0.2793          |
| 0.2303        | 2.0   | 6250  | 0.2741          |
| 0.1488        | 3.0   | 9375  | 0.3239          |
| 0.0802        | 4.0   | 12500 | 0.3506          |
| 0.0494        | 5.0   | 15625 | 0.3734          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.4.0.dev20240317
- Datasets 2.18.0
- Tokenizers 0.15.2