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README.md
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---
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license: bigscience-bloom-rail-1.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: bigscience/bloom-3b
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model-index:
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- name: testing_fine_tune_qa
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# testing_fine_tune_qa
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This model is a fine-tuned version of [bigscience/bloom-3b](https://huggingface.co/bigscience/bloom-3b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1709
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.9148 | 0.4 | 200 | 1.6602 |
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| 1.6726 | 0.8 | 400 | 1.3506 |
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| 1.0625 | 1.2 | 600 | 1.2383 |
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| 0.8001 | 1.6 | 800 | 1.1885 |
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| 0.3615 | 2.0 | 1000 | 1.1709 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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