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instruct-rl-Qwen2.5-0.5B-databricks-dolly-15k – AI Model by robertvacareanu | AlphaNeural AI

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robertvacareanu/
instruct-rl-Qwen2.5-0.5B-databricks-dolly-15k

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text-generation

generated_from_trainer

Qwen/Qwen2.5-0.5B

autotrain_compatible

text-generation-inference

endpoints_compatible

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instruct-rl-Qwen2.5-0.5B-databricks-dolly-15k

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B on the generator 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: 5e-05
train_batch_size: 8
eval_batch_size: 16
seed: 1337
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1