transformers safetensors bloom text-generation generated_from_trainer base_model:alonzogarbanzo/Bloom-1b7-ropes-Cont-IT-Step2 license:bigscience-bloom-rail-1.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: bigscience-bloom-rail-1.0
base_model: alonzogarbanzo/Bloom-1b7-ropes-Cont-IT-Step2
tags:
- generated_from_trainer
model-index:
- name: Bloom-1b7-glue-mrpc-Cont-IT-Step3
  results: []
---

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# Bloom-1b7-glue-mrpc-Cont-IT-Step3

This model is a fine-tuned version of [alonzogarbanzo/Bloom-1b7-ropes-Cont-IT-Step2](https://huggingface.co/alonzogarbanzo/Bloom-1b7-ropes-Cont-IT-Step2) on an unknown dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

Final results: {'loss': 0.0741, 'grad_norm': 3.153198719024658, 'learning_rate': 3.0000000000000004e-07, 'epoch': 10.0}

Average results: {'train_runtime': 362.8198, 'train_samples_per_second': 5.512, 'train_steps_per_second': 1.378, 'train_loss': 0.5167060216665268, 'epoch': 10.0}

### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
