base_model: openai-community/gpt2-xl | |
library_name: peft | |
license: mit | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: gpt2-xl-lora-ecthr-random-imbalanced-skewed-cluster-8-id-5-blah | |
results: [] | |
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# gpt2-xl-lora-ecthr-random-imbalanced-skewed-cluster-8-id-5-blah | |
This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.9495 | |
## 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 |