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test_tambouille
AdrienB134/test_tambouille
test_tambouille is a machine learning model from AdrienB134. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Sep 30, 2024
Repo size
296 MB
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024
- SHA
- 5ee2cbcd
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. -->
test_tambouille
This model is a fine-tuned version of vidore/colqwen2-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0650
- eval_model_preparation_time: 0.0048
- eval_runtime: 25.2861
- eval_samples_per_second: 2.373
- eval_steps_per_second: 0.593
- step: 0
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- License
- mit
- Created
- Sep 30, 2024
- Updated
- Sep 30, 2024