---
license: bigscience-bloom-rail-1.0
tags:
- generated_from_trainer
metrics:
- f1
- recall
- precision
model-index:
- name: sentiment-bloom-e6-b16
  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-e6-b16

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: 6.2903
- F1: 0.6792
- Recall: 0.6792
- Precision: 0.6792

## 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: 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     | Recall | Precision |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|
| No log        | 1.0   | 375  | 1.6115          | 0.3208 | 0.3208 | 0.3208    |
| 1.0514        | 2.0   | 750  | 1.4880          | 0.6685 | 0.6685 | 0.6685    |
| 0.3197        | 3.0   | 1125 | 2.6035          | 0.5876 | 0.5876 | 0.5876    |
| 0.1369        | 4.0   | 1500 | 4.2285          | 0.6550 | 0.6550 | 0.6550    |
| 0.1369        | 5.0   | 1875 | 7.1198          | 0.6927 | 0.6927 | 0.6927    |
| 0.0228        | 6.0   | 2250 | 6.2903          | 0.6792 | 0.6792 | 0.6792    |


### Framework versions

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