---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- precision
model-index:
- name: sentiment-bloom-large-e6-v2
  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-bloom-large-e6-v2

This model is a fine-tuned version of [LYTinn/bloom-finetuning-sentiment-model-3000-samples](https://huggingface.co/LYTinn/bloom-finetuning-sentiment-model-3000-samples) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4406
- F1: 0.6361
- Recall: 0.6361
- Precision: 0.6361

## 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: 4
- eval_batch_size: 4
- 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     | Recall | Precision |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
| 0.9509        | 1.0   | 1500 | 1.7886          | 0.5822 | 0.5822 | 0.5822    |
| 0.7559        | 2.0   | 3000 | 3.0284          | 0.5930 | 0.5930 | 0.5930    |
| 0.5812        | 3.0   | 4500 | 3.5468          | 0.6388 | 0.6388 | 0.6388    |
| 0.2835        | 4.0   | 6000 | 4.7649          | 0.6442 | 0.6442 | 0.6442    |
| 0.1664        | 5.0   | 7500 | 5.4256          | 0.6361 | 0.6361 | 0.6361    |
| 0.0718        | 6.0   | 9000 | 5.4406          | 0.6361 | 0.6361 | 0.6361    |


### Framework versions

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