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

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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: 2.8279

## 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: 48
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 313  | 2.7425          |
| 2.7964        | 2.0   | 626  | 2.7329          |
| 2.7964        | 3.0   | 939  | 2.7427          |
| 2.6722        | 4.0   | 1252 | 2.7565          |
| 2.6103        | 5.0   | 1565 | 2.7763          |
| 2.6103        | 6.0   | 1878 | 2.7917          |
| 2.5551        | 7.0   | 2191 | 2.8087          |
| 2.5208        | 8.0   | 2504 | 2.8161          |
| 2.5208        | 9.0   | 2817 | 2.8245          |
| 2.4993        | 10.0  | 3130 | 2.8279          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3