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capybara_finetuned_results – AI Model by archit11 | AlphaNeural AI

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archit11/
capybara_finetuned_results

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text-generation

generated_from_trainer

Qwen/Qwen2.5-0.5B-Instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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capybara_finetuned_results

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct 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: 0.0002
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 5
training_steps: 50

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1