---
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-3b
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: Bloom_3b_squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Bloom_3b_squad

This model is a fine-tuned version of [bigscience/bloom-3b](https://huggingface.co/bigscience/bloom-3b) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7859

## 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: 48
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.0058        | 1.0   | 1643  | 2.7510          |
| 2.7801        | 2.0   | 3286  | 2.7497          |
| 2.7284        | 3.0   | 4929  | 2.7536          |
| 2.7001        | 4.0   | 6572  | 2.7601          |
| 2.6811        | 5.0   | 8215  | 2.7669          |
| 2.6811        | 6.0   | 9858  | 2.7722          |
| 2.6639        | 7.0   | 11501 | 2.7780          |
| 2.6492        | 8.0   | 13144 | 2.7817          |
| 2.6414        | 9.0   | 14787 | 2.7841          |
| 2.6354        | 10.0  | 16430 | 2.7859          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0