End of training
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README.md
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---
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license: bigscience-bloom-rail-1.0
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base_model: bigscience/bloom-560m
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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-media-right
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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-media-right
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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: 3.2603
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.4333 | 0.87 | 500 | 3.3780 |
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| 3.251 | 1.74 | 1000 | 3.2935 |
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| 3.112 | 2.61 | 1500 | 3.2603 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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adapter_model.safetensors
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