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test_tambouille – AI Model by AdrienB134 | AlphaNeural AI

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AdrienB134/
test_tambouille

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🍲 Tambouille

Tambouille 🍲

generated_from_trainer

vidore/colqwen2-base

endpoints_compatible

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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