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bloom-560m-finetuned-media-right
Jorsini/bloom-560m-finetuned-media-right
bloom-560m-finetuned-media-right is a machine learning model from Jorsini. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bigscience-bloom-rail-1.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jan 9, 2024
Repo size
252 MB
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At a glance
- License
- bigscience-bloom-rail-1.0
- Access
- Public
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024
- SHA
- fda0fc32
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bloom-560m-finetuned-media-right
This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2603
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4333 | 0.87 | 500 | 3.3780 |
| 3.251 | 1.74 | 1000 | 3.2935 |
| 3.112 | 2.61 | 1500 | 3.2603 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- License
- bigscience-bloom-rail-1.0
- Created
- Jan 9, 2024
- Updated
- Jan 9, 2024