gpt2-xl-lora-ecthr-random-balanced-cluster-8-id-4
This model is a fine-tuned version of openai-community/gpt2-xl on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9243
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for MHGanainy/gpt2-xl-lora-ecthr-random-balanced-cluster-8-id-4
Base model
openai-community/gpt2-xl