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--- |
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license: bigscience-bloom-rail-1.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bloom-560m-finetuned-samsum |
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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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# bloom-560m-finetuned-samsum |
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This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9178 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.7663 | 0.63 | 200 | 2.6934 | |
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| 2.3769 | 1.26 | 400 | 2.6274 | |
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| 2.2776 | 1.89 | 600 | 2.5818 | |
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| 1.873 | 2.52 | 800 | 2.7177 | |
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| 1.6715 | 3.15 | 1000 | 2.9178 | |
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| 1.4515 | 3.78 | 1200 | 2.8924 | |
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| 1.0522 | 4.42 | 1400 | 3.3753 | |
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| 1.0237 | 5.05 | 1600 | 3.8098 | |
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| 0.7416 | 5.68 | 1800 | 3.9139 | |
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### Framework versions |
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- Transformers 4.22.2 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.5.1 |
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- Tokenizers 0.12.1 |
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