base_model: EleutherAI/gpt-j-6b | |
library_name: peft | |
license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: gpt-J-lora-ecthr | |
results: [] | |
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# gpt-J-lora-ecthr | |
This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.4851 | |
## 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: 2 | |
- 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: 2148 | |
- num_epochs: 1 | |
- mixed_precision_training: Native AMP | |
### Training results | |
### Framework versions | |
- PEFT 0.13.0 | |
- Transformers 4.45.1 | |
- Pytorch 2.4.1+cu121 | |
- Datasets 3.0.1 | |
- Tokenizers 0.20.0 |