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finetuned_tpicap_model
rajparmar/finetuned_tpicap_model
finetuned_tpicap_model is a machine learning model from rajparmar. 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. --
Access
Public
Updated Jun 28, 2024
Repo size
27.1 MB
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0
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Repo makeup
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.json14.5 MB · 53%
At a glance
- License
- bigscience-bloom-rail-1.0
- Access
- Public
- Created
- Jun 28, 2024
- Updated
- Jun 28, 2024
- SHA
- f3b5eea9
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. -->
finetuned_tpicap_model
This model is a fine-tuned version of bigscience/bloomz-560m 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0+cu117
- Datasets 2.13.0
- Tokenizers 0.14.1
- License
- bigscience-bloom-rail-1.0
- Created
- Jun 28, 2024
- Updated
- Jun 28, 2024