MehmetS1
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results

Text2Text Generation

Generated from Trainer

text-generation-inference

Inference Endpoints

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results

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4662
eval_runtime: 28.1492
eval_samples_per_second: 95.491
eval_steps_per_second: 5.968
epoch: 2.0
step: 3024

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

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Safetensors

Model size

60.5M params

Tensor type

F32

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Base model

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Evaluation results

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